Job Description Job Title: Data Scientist Location: Mumbai & Bangalore Job Type: Full Time About The Role We are seeking an experienced Data Scientist to lead and deliver complex data-driven solutions. With over 8 years in the field, the ideal candidate has a strong background in statistical modelling, machine learning, and business problem-solving. You will collaborate with cross-functional teams to drive decision-making and improve performance across the organization. Key Responsibilities Lead end-to-end data science projects from problem definition through model deployment and monitoring. Develop and implement advanced machine learning models, including supervised, unsupervised, and deep learning approaches. Translate complex business challenges into data science problems and communicate insights to stakeholders clearly and effectively. Collaborate with data engineers, analysts, product managers, and domain experts to build robust data pipelines and models. Mentor junior data scientists and provide technical leadership within the team. Conduct exploratory data analysis and feature engineering using large, complex datasets. Optimize models for performance, scalability, and interpretability. Stay current with the latest research, tools, and best practices in data science and machine learning. Required Qualifications 8+ years of experience in data science, machine learning. Degree in Computer Science, Statistics, Applied Mathematics, Engineering, or a related field. Strong proficiency in Python, SQL & Market Analytics. Experience with AWS cloud platform. Skills Required RoleData Engineer-Data Scientist Industry TypeITES/BPO/KPO Functional AreaIT-Software Required Education Graduation Employment TypeFull Time, Permanent Key Skills DATA SCIENTIST MACHINE LEARNING PYHTON SQL Other Information Job CodeGO/JC/201/2025 Recruiter NamePriya Srinivasan Show more Show less

Job Description As a Data Scientist you will identify business trends and problems through complex big data analysis. You will interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. You will design, develop and implement the most valuable business solutions for the organization. You will prepare big data, implements data modules and develops database to support the business solutions. Responsibilities Write SQL queries to extract, filter, and manipulate data from various structured databases (MySQL, SQL Server etc.). Clean, validate, and prepare datasets for analysis using tools such as Excel, Google Sheets, or Python. Analyze large datasets to identify trends, patterns, and insights that inform business decisions. Develop and maintain dashboards and reports using tools like Tableau, Power BI, or Google Data Studio. Collaborate with cross-functional teams to understand data needs. Support ad hoc data requests and generate reports that support business goals. Document analysis methods, data dictionaries, and reporting standards. Qualifications Bachelor’s degree in computer science, Statistics, Mathematics, Economics, or a related field. Good knowledge of SQL (joins, subqueries, CTEs, aggregations, indexing concepts). Strong analytical thinking and problem-solving skills. Proficiency in Excel/Google Sheets for data manipulation and reporting. Basic understanding of data visualization and storytelling with data #LM-P1 About The Team At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Company’s greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company. Wesco International, Inc., including its subsidiaries and affiliates (“Wesco”) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Position Overview Job Title- Technical specialist- Cloud Engineer Location- Pune, India Role Description An Engineer is responsible for designing, developing and delivering significant components of engineering solutions to accomplish business goals. Key responsibilities of this role include active participation in the design and development of new features of application enhancement, investigating re-use, ensuring that solutions are fit for purpose and maintainable, and can be integrated successfully into the overall solution and environment with clear, robust and well tested deployments. Assists more junior members of the team and controls their work where applicable. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Develops source code , including CI/CD pipelines, infrastructure and application related configurations , for all Software Components in accordance with Detailed Software Requirements specification. Provides quality development for technical infrastructure components (i.e., Cloud configuration, Networking and Security, Storage, Infrastructure as a Code) and source code development. Debugs, fixes and provides support to L3 and L2 team. Verifies the developed source code by reviews (4-eyes principle). Contributes to quality assurance by writing and conducting unit testing. Ensures architectural changes (as defined by Architects) are implemented. Contributes to problem and root cause analysis. Integrates software components following the integration strategy. Verifies integrated software components by unit and integrated software testing according to the software test plan. Software test findings must be resolved. Ensures that all code changes end up in Change Items (CIs). Where applicable, develops routines to deploy CIs to the target environments. Provides Release Deployments on non-Production Management controlled environments. Supports creation of Software Product Training Materials, Software Product User Guides, and Software Product Deployment Instructions. Checks consistency of documents with the respective Software Product Release. Where applicable, manages maintenance of applications and performs technical change requests scheduled according to Release Management processes. Fixes software defects/bugs, measures and analyses code for quality. Collaborates with colleagues participating in other stages of the Software Development Lifecycle (SDLC). Identifies dependencies between software product components, between technical components, and between applications and interfaces. Identifies product integration verifications to be performed based on the integration sequence and relevant dependencies. Suggests and implements continuous technical improvements on the applications (Scalability, Reliability, Availability , Performance) General Skills Your skills and experience Bachelor of Science degree from an accredited college or university with a concentration in Computer Science or Software Engineering (or equivalent) – with a minor in Finance, Mathematics or Engineering. Strong analytical skills. Proficient communication skills. Fluent in English (written/verbal). Ability to work in virtual teams and in matrixed organizations. Excellent team player. Open minded. Keeps pace with technical innovation. Understands the relevant business area Ability to share information, transfer knowledge and expertise to team members. Ability to design and write code in accordance with provided business requirements Ability to contribute to QA strategy and Architecture decisions. Knowledge of IT delivery and architecture of Cloud native systems and applications Relevant Financial Services experience. Ability to work in a fast-paced environment with competing and alternating priorities with a constant focus on delivery. Ability to balance business demands and IT fulfilment in terms of standardization, reducing risk and increasing IT flexibility. Domain Specific Skills Very Good knowledge of the following technologies are needed: Cloud offering (GCP preferred) Cloud services - IAAS, PAAS, SAAS Cloud native Development and DevOPS, API management, Networking and Configuration Java or Python, Good understanding of ETL/ Data pipelines Very good Knowledge about the core processes / tools such as HP ALM, Jira, Service Now, SDLC, Agile processes. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Full-time Company Description Our Media Measurement team uses state-of-the-art technologies and rigorous methods to track who is watching what, where, and how they engage with content. Our clients can evaluate who is consuming which content across different media, platforms and devices, and know what the audience thinks about that content. As people consume media content on more channels, and through more devices, than ever before, we are proud to provide a full view on media consumption. We are looking for a passionate and talented Data Science Manager to join our growing team. In this role, you will have the chance to roll up your sleeves and apply data science methods and analytics to sustain our growth. Successful candidates are intellectually curious builders and active learners who are biased toward action and new problem solving. Job Description As a Data Science Manager you will have following key accountabilities: Team Leadership: Build and lead a high-performing team of 6-8 Data Scientists and Machine Learning Engineers in our Pune hub. Foster a collaborative and inclusive team culture that encourages innovation and continuous learning. Business Understanding: Utilize your solid business understanding to align with stakeholders, discuss requirements and feasibility, and manage expectations effectively. Ensure clear communication and understanding of project goals and outcomes. Technical Communication: Explain Data Science principles, concepts, algorithms, and approaches in simple terms to diverse audiences, including non-technical stakeholders. Active Contribution: Drive ML/AI solutions throughout the full life cycle, from brainstorming and conceptual design to implementation, productization, and maintenance. Ensure timely delivery and high-quality outcomes. Innovation and Improvement: Continuously improve methods and tools. Foster knowledge exchange within the team and the broader organization. Represent our Data Science expertise at conferences, workshops, and industry events. Cross-functional Collaboration: Collaborate with teams across Tech, Operations, Commercial, and Product to understand domain-specific requirements and deliver impactful data-driven solutions. Qualifications ow you know what a Data Scientist does. What skills, qualifications & experience do you need for this job? Key Qualifications Educational Background: PhD or Master’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field, with 8+ years of experience as a Data Scientist. Leadership Experience: Proven experience as a people manager and/or mentor, with a track record of developing and leading high-performing teams. Communication Skills: Ability to effectively communicate complex methodologies and technologies to both technical and non-technical audiences. Strong problem-solving skills and an independent working style. Technical Expertise: Strong statistical and machine learning modeling skills, including statistical tests, classification, predictive modeling, handling of missing data, and sampling/weighting techniques. Solid in analytical programming languages such as Python or R, along with their respective ecosystems. Hands-on experience implementing these models in production systems. Proficient in software development skills, including unit testing, CI/CD, and version control with Git, along with familiarity with computer science and engineering fundamentals such as data structures, software design principles, and testing strategies. Preferred Qualifications Experience in the Media industry Experience working with cloud-based data services (AWS, Azure, or GCP) Experience with Optimization techniques such as: linear programming, integer programming, genetic algorithms, constrained optimization is a plus Benefits: Meaningful projects, where you learn every day and show what you've got The possibility to be part of a talented team, working with experienced individuals A nice place to work, where we foster training, and personal development Flex Office: a mix of remote and in-office work to boost our productivity and promote a healthy work-life balance Can there be a better place to take center stage in the digital revolution? We are excited to getting to know you! Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion I'm interested I'm interested Privacy Policy Show more Show less

Position Overview: We are seeking a Data Scientist Engineer with experience bringing highly scalable enterprise SaaS applications to market. This is a uniquely impactful opportunity to help drive our business forward and directly contribute to long-term growth at Virtana. If you thrive in a fast-paced environment, take initiative, embrace proactivity and collaboration, and you’re seeking an environment for continuous learning and improvement, we’d love to hear from you! Virtana is a “remote first” work environment so you’ll be able to work from the comfort of your home while collaborating with teammates on a variety of connectivity tools and technologies. Job Location- Pune/ Chennai/ Remote Role Responsibilities: Research and test machine learning approaches for analyzing large-scale distributed computing applications. Implement different models AI and ML algorithms for prototype and production systems. Test and refine the models and algorithms with live customer data to improve accuracy and efficacy. Work with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform Qualifications: The ideal candidate must have the following qualifications: 3+ years’ experience in practical implementation and deployment of ML based systems preferred. BS/B Tech or M Tech/ MS (preferred) in Applied Mathematics or Statistics, or CS/Engineering with strong mathematical/statistical background Strong quantitative and analytical skills, especially statistical and ML techniques, including familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Experience in understanding and usage of LLM models and Prompt engineering is preferred. Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras and TensorFlow About Virtana: Virtana delivers the industry’s only unified software multi-cloud management platform that allows organizations to monitor infrastructure, de-risk cloud migrations, and reduce cloud costs by 25% or more. Over 200 Global 2000 enterprise customers, such as AstraZeneca, Dell, Salesforce, Geico, Costco, Nasdaq, and Boeing, have valued Virtana’s software solutions for over a decade. Our modular platform for hybrid IT digital operations includes Infrastructure Performance Monitoring and Management (IPM), Artificial Intelligence for IT Operations (AIOps), Cloud Cost Management (Fin Ops), and Workload Placement Readiness Solutions. Virtana is simplifying the complexity of hybrid IT environments with a single cloud-agnostic platform across all the categories listed above. The $30B IT Operations Management (ITOM) Software market is ripe for disruption, and Virtana is uniquely positioned for success. Company Profitable Growth and Recognition: In FY2023 (Fiscal year ending January 2023), Virtana earned: — Best CEO, Best CEO for Women, and Best CEO for Diversity by Comparably — Two years in a row YoY Profitable Annual Recurring Revenue (ARR) Growth — Two consecutive years of +EBITDA, 78% YoY EBITDA growth, or 20% of Revenue — Positive Cash Flow, 171% YoY cash flow growth Show more Show less

Rate filing EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Role & Responsibilities Overview Collaborate with the Rate-filing Team to analyze and estimate reserves for our P&C insurance products by state, including performing triangle-based loss reserve reviews and analyses. Analyze data and perform actuarial calculations to generate state-specific filing indications for DOI submissions Manage rate reviews, filings with DOIs and DOI complaints as well as Filings and objection for multiple LOBs Support monthly/quarterly rate updates and processes (rate files, RPC, forecasts) Assist in the development and enhancement of rate-filing tools, models, and processes to improve accuracy and efficiency. Prepare detailed documentation for rate review, pricing models, and state filing reports and preparing presentations Assist in analyzing, identifying and tracking new market trends, including underwriting and rate actions and proposing what actions to take Assist in audit functions as needed and ensure compliance with Data Privacy and Protection Guidelines Provide support in the preparation of financial reports, including reserve-related disclosures. Stay updated with best practices in actuarial methodologies and techniques. Mentor and provide guidance to junior team members as needed. Candidate Profile Bachelor’s/Master's degree in engineering, economics, mathematics, actuarial sciences or statistics. Affiliation to IAI or IFOA, with 2-6 CT actuarial exams will be an added advantage 3-6 years Actuarial experience in the P&C insurance industry Good knowledge of insurance terms Advanced skills in Excel, Databricks, SQL, and other relevant tools for data analysis and modeling. Excellent analytical and problem-solving skills, with the ability to analyze complex data and make data-driven decisions. Strong communication skills, including the ability to effectively communicate actuarial concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively in a team-oriented environment. Detail-oriented with strong organizational and time management skills. Ability to adapt to changing priorities and deadlines in a fast-paced environment. What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

EXL Decision Analytics EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Role Overview Doing independent research, analyze, and present data as assigned Expected to work in close collaboration with the EXL team and clients on general insurance actuarial projects for US markets Critically examine and deep dive into pricing models Prepare detailed documentation for rate review, pricing models and state filing reports and preparing presentations Assist in learning and development of new team members Identify and participate in continuous improvement initiatives Ensure compliance with Data Privacy and Protection Guidelines Key Responsibilities Complete understanding of the current state of affairs and problem statement Interacting with clients on regular basis, understanding their requirements and transforming that into business framework and providing actuarial solutions In-depth data analysis like identifying major trends, univariate and multi-variate analysis Commercial lines insurance pricing for US insurance markets is preferable Knowledge of general insurance domain and P&C actuarial concepts is a must Excellent written and verbal communication skills Candidate Profile Bachelor’s/Master's degree in economics, mathematics, actuarial sciences Affiliation to IAI or IFOA, with at least 4-6 actuarial exams 4+ years’ experience, with good understanding of P&C pricing actuarial concepts Strong analytical skills with previous experience of applying actuarial/statistical methodologies to business problems Knowledge of GI actuarial modelling package such as Emblem/RADAR/Earnix GLM development experience using SAS , Python or other relevant analytical packages can be considered Strong IT skills, will need to be comfortable with basic programming in VBA & SAS and eager to develop this skill Exposure to US general insurance market is preferable Outstanding written and verbal communication skills Able to work in fast pace continuously evolving environment and ready to take up uphill challenges Is able to understand cross cultural differences and can work with clients across the globe What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

We’re looking for an experienced Data Scientist with a strong background in Python, NLP and Machine Learning skills to join our team! Do you want a role where you can really make a difference? Then this role could be perfect for you. In this role you will apply your deep expertise in analytics and data science techniques to enable better customer understanding and inform business decisioning for our clients. This is a great opportunity to join an established, highly collaborative and high growth team to work on ways to leverage Analytics & AI to improve customer experiences. Key Responsibilities Engage with business stakeholders, understand their pain points and opportunities and work with them to solve their most difficult and impactful problems. Combine an inquisitive mind with an ability to understand a customer’s business context and translate the understanding into an innovative and iterative data science solution design that delivers value to business unit customers quickly. Create innovative data science technical solutions that you will execute to create value for our customers. Bring thought leadership and new ways of working with your clients as a source of EXL expertise. Be accountable for the design and delivery of complex advanced data science components (data, models, algorithms, advice, deployment etc.). Work within an agile framework to deliver incremental value to business customers throughout a project’s lifecycle. Be accountable for the quality control of the core data science components (data, models, algorithms, advice etc.). Possess exceptional technical capability in one or more areas of data science/machine learning, preferably with Python and complementing this with SQL Skills & Experience Superior results in a relevant advanced technical bachelor’s degree in quantitative subject area (e.g. statistics, actuarial, data science, mathematics, computer science). 5-8 years’ relevant experience in Data Science (in an advanced analytical or data science /NLP related field of work). Data Science experience within Insurance preferred Advanced level of competence in solving difficult problems, using technique like NLP, Tree based algorithms, ML explainability, SLM / LLMs (like BERT, llama) etc. Knowledge of the execution of a wide range of Data Science techniques and being able to do this in a way that is focused on delivering tangible value. Must have experience in delivering complex machine learning models using python and hands-on expertise in handling unstructured data using NLP Knowledge of model deployment and model results monitoring experience. Should have the ability to do model and data health checks using various algorithms like PSI, F1, A/E plots etc.. Atleast deployed 1 model in production Proficient with Python classes and OOPs concepts Proficient communication skills to be able to co-design solutions with clients. Emotional intelligence and the ability to communicate complex ideas to a range of stakeholders. Show more Show less

Reserving Data Analyst EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Role & Responsibilities Overview Support in the creation and update of data definitions to allow for reserving data to be classed into risk-profiled subsets for actuarial analysis Coding in Databricks to encode claims datasets per their defined class codes for further analysis and reconciliation against multiple internal sources for credibility & data assurance Maintain current expense (Adjustment & Other expense) processes, while improving them to goal state levels Develop tracking tables for monitoring catastrophe claims for the client’s book of business Create and enhance templates that estimate and track key actuarial diagnostic metrics like AvE, PYD, Settlement rates etc. Support with the preparation of exhibits for regulatory filing Develop and maintain reserve models in tools like ResQ, Arius etc. Identify opportunities for seamless integration with downstream processes Assist in the development and enhancement of other actuarial tools, models, and processes to improve accuracy and efficiency. Provide support with the preparation of financial reports, recons and dashboards. Stay updated with best practices in actuarial and insurance terminology. Mentor and provide guidance to junior team members as needed. Candidate Profile Bachelor’s/Master's degree in engineering, economics, mathematics, actuarial sciences or statistics. Affiliation to IAI or IFOA, with 2-6 CT actuarial exams will be an added advantage 5-6 years Actuarial experience in the P&C insurance industry Good knowledge of insurance terms Advanced skills in Excel, Databricks, SQL, and other relevant tools for data analysis and modeling. Familiarity with reserving tools like ResQ, Arius is preferred Excellent analytical and problem-solving skills, with the ability to analyze complex data and make data-driven decisions. Strong communication skills, including the ability to effectively communicate actuarial concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively in a team-oriented environment. Detail-oriented with strong organizational and time management skills. Ability to adapt to changing priorities and deadlines in a fast-paced environment. What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

Rate filing EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Role & Responsibilities Overview Collaborate with the Rate-filing Team to analyze and estimate reserves for our P&C insurance products by state, including performing triangle-based loss reserve reviews and analyses. Analyze data and perform actuarial calculations to generate state-specific filing indications for DOI submissions Manage rate reviews, filings with DOIs and DOI complaints as well as Filings and objection for multiple LOBs Support monthly/quarterly rate updates and processes (rate files, RPC, forecasts) Assist in the development and enhancement of rate-filing tools, models, and processes to improve accuracy and efficiency. Prepare detailed documentation for rate review, pricing models, and state filing reports and preparing presentations Assist in analyzing, identifying and tracking new market trends, including underwriting and rate actions and proposing what actions to take Assist in audit functions as needed and ensure compliance with Data Privacy and Protection Guidelines Provide support in the preparation of financial reports, including reserve-related disclosures. Stay updated with best practices in actuarial methodologies and techniques. Mentor and provide guidance to junior team members as needed. Candidate Profile Bachelor’s/Master's degree in engineering, economics, mathematics, actuarial sciences or statistics. Affiliation to IAI or IFOA, with 2-6 CT actuarial exams will be an added advantage 3-6 years Actuarial experience in the P&C insurance industry Good knowledge of insurance terms Advanced skills in Excel, Databricks, SQL, and other relevant tools for data analysis and modeling. Excellent analytical and problem-solving skills, with the ability to analyze complex data and make data-driven decisions. Strong communication skills, including the ability to effectively communicate actuarial concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively in a team-oriented environment. Detail-oriented with strong organizational and time management skills. Ability to adapt to changing priorities and deadlines in a fast-paced environment. What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

Reserving Data Analyst EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation and logistics industries. Headquartered in New York, New York, EXL has more than 24,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa. EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries. Please visit www.exlservice.com for more information about EXL Analytics. Role & Responsibilities Overview Support in the creation and update of data definitions to allow for reserving data to be classed into risk-profiled subsets for actuarial analysis Coding in Databricks to encode claims datasets per their defined class codes for further analysis and reconciliation against multiple internal sources for credibility & data assurance Maintain current expense (Adjustment & Other expense) processes, while improving them to goal state levels Develop tracking tables for monitoring catastrophe claims for the client’s book of business Create and enhance templates that estimate and track key actuarial diagnostic metrics like AvE, PYD, Settlement rates etc. Support with the preparation of exhibits for regulatory filing Develop and maintain reserve models in tools like ResQ, Arius etc. Identify opportunities for seamless integration with downstream processes Assist in the development and enhancement of other actuarial tools, models, and processes to improve accuracy and efficiency. Provide support with the preparation of financial reports, recons and dashboards. Stay updated with best practices in actuarial and insurance terminology. Mentor and provide guidance to junior team members as needed. Candidate Profile Bachelor’s/Master's degree in engineering, economics, mathematics, actuarial sciences or statistics. Affiliation to IAI or IFOA, with 2-6 CT actuarial exams will be an added advantage 5-6 years Actuarial experience in the P&C insurance industry Good knowledge of insurance terms Advanced skills in Excel, Databricks, SQL, and other relevant tools for data analysis and modeling. Familiarity with reserving tools like ResQ, Arius is preferred Excellent analytical and problem-solving skills, with the ability to analyze complex data and make data-driven decisions. Strong communication skills, including the ability to effectively communicate actuarial concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively in a team-oriented environment. Detail-oriented with strong organizational and time management skills. Ability to adapt to changing priorities and deadlines in a fast-paced environment. What We Offer EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants. You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques. We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors. Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond. Show more Show less

Responsibilities: * Teach CBSE curriculum in classes * Manage classroom activities & assessments * Collaborate with school management on academic matters * Attend staff meetings regularly

Why join us? Our purpose is to design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. Role: Associate Software Engineer Location: Bangalore Job Description We are looking to hire an Associate Software Engineer for the Data Engineering team, with excellent technical and communication skills, to effectively designing, developing, and validating data pipelines using cloud technologies while collaborating with IT and business stakeholders to understand their needs and develop functionality and enhancements. Associate Software Engineer in the Data Engineering team as part of day-to-day operations, will monitor production data pipelines to ensure timely and successful execution. This role transcends organizational and geographical boundaries asit aims at supporting and enabling the various divisions of the Herman Miller business across the globe. The ideal candidate should understand the software development lifecycle and use agile methodology to design, develop, test, and implement solutions that deliver on end-user needs. Responsibilities Translate stakeholder deliverables into the project methodology deliverables that result in design, such as functional specifications, use cases, workflow & process diagrams, data flow & data model diagrams. ▪ ETL design, development and support of data pipelines used for Analytics. ▪ Monitoring of the ETL jobs over the weekend and providing support in case of any issues. ▪ Perform table and interface design, development of logical and physical data model/database and ETL processes while meeting business/user requirements. ▪ Design, develop, deploy, and validate extremely reliable, scalable, and high performing data pipelines. ▪ Ensure quality of the data and code using quality tools and frequent code reviews. ▪ Assist in the development of logical and physical data models for designing/developing Business Intelligence & Data Warehouse requirements. ▪ Ensure proper source code management of data pipelines, stored procedures, and database definitions. ▪ Provide accurate documentation of data pipelines. ▪ Disseminate tasks amongst team members and ensure timely/accurate completion as defined by the business. ▪ Coordinate prioritized work and help to mitigate any blockers for the team. ▪ Efficient communication of known issues/problems with team members as well as appropriate escalation to leadership. Essential experience ▪ Demonstrated experience in using a graphical ELT/ETL pipeline development. ▪ Experience with data analysis, data modeling and data warehousing is a must. ▪ Ability to troubleshoot technical and functional problems with intuitive problem-solving techniques with little supervision or direction. ▪ Experience in optimizing databases, understanding of referential integrity and the use of indexes. ▪ Possess an extremely sound understanding of columnar database. ▪ Strong SQL knowledge and experience writing queries and DML. ▪ Moderate knowledge of cloud-based tools and how to interact with them. Ideal candidate A graduate / post-graduate in computer science / technology / engineering or mathematics. Having excellent interpersonal and communication skills in English, both written and verbal. At least 3+ years of hands-on experience with Data Engineering expertise using ELT/ETL tools to meet business requirements for analytics/reporting. Strong experience on parameterization and process optimization. Experience using Matillion, AWS, Python and Snowflake to develop robust data pipelines. Ability to work individually or within a team environment. Ability to participate in multiple projects & tasks and priorities in a healthy work environment. Has attention to detail and a penchant for quality. Proficient in documentation as well as process and workflow design. Command of version control methodologies, preferably with GIT / GITHub. Ability to take direction, constructive criticism, and work to specified deadlines. Adhere to process and procedures defined for the role, the team, and the organization. This role requires the individual to work in the extended UK shift (2:00 P.M. – 11:00 P.M.) India time) and during critical issues, releases, updates, migration or other urgent business needs, there could be a requirement to work during US business hours (5:30 P.M. to 2:30 A.M.) Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We’re committed to equal opportunity employment, including veterans and people with disabilities. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_help@millerknoll.com. Show more Show less

The world of work is evolving faster than ever, and Chandigarh is no exception. With remote work becoming the new norm, professionals, students, and freelancers are actively looking for high-paying work from home jobs in Chandigarh that offer both financial growth and flexibility. Whether you’re a fresher, a skilled professional, or someone switching careers, there’s a remote job out there waiting for you— and many of them pay extremely well . This guide will walk you through the most lucrative remote job roles , platforms to apply on, skills required, salary expectations, and how you can start earning today from the comfort of your home. Why Choose Work from Home Jobs in Chandigarh? Here’s why more professionals in Chandigarh are opting for WFH careers: 💰 Attractive salaries and international opportunities 🕒 Flexible work hours for better work-life balance 🚗 Zero commuting stress and travel cost 🏠 Comfort of working from your own space 🌐 Access to global clients and remote-first companies 12 High-Paying Work from Home Jobs in Chandigarh You Can Start Today Here’s a curated list of high-paying remote jobs ideal for Chandigarh residents: Remote Software Developer Type: Full-time / Freelance Average Salary: ₹60,000 – ₹2,00,000/month Skills Required: Programming (Python, Java, React, Node.js) Git, APIs, debugging, version control Top Companies Hiring: Turing Toptal Infosys (remote positions) Accenture Tools To Learn: Visual Studio Code, GitHub, Docker, Jira Digital Marketing Specialist Type: Freelance / Full-time Average Salary: ₹35,000 – ₹1,20,000/month In-demand Areas: SEO, SEM, Google Ads, Email Marketing Social Media Strategy and Analytics Best Platforms: Upwork Freelancer CareerCartz Remote Job Board Tools To Master: Google Analytics, Ahrefs, SEMrush, Mailchimp UI/UX Designer Type: Project-based / Full-time Average Salary: ₹50,000 – ₹1,50,000/month Skills Required: Wireframing, User Research, Figma, Adobe XD Remote-friendly Companies: Design agencies SaaS startups Web development firms Key Platforms: Dribbble Behance LinkedIn Jobs Freelance Content Strategist / Writer Type: Freelance / Part-time Average Salary: ₹30,000 – ₹1,00,000/month Skills Required: SEO content writing Copywriting, storytelling Keyword research Content Types In Demand: Blog posts Product descriptions Website and landing page content Platforms To Explore: Content Writing Jobs (CareerCartz) ProBlogger Freelancer.in Also Read: Work from Home Jobs in Ahmedabad for Freshers and Students Online Tutor or Educator Type: Freelance / Platform-based Average Salary: ₹20,000 – ₹90,000/month Subjects In Demand: Mathematics, Science, Spoken English, Coding for kids Popular Portals: Vedantu Chegg TutorMe WhiteHat Jr. Requirements: Subject matter expertise Clear communication Teaching certification (optional) Virtual Assistant (VA) Type: Contractual / Retainer-based Average Salary: ₹25,000 – ₹75,000/month Key Responsibilities: Managing schedules Email handling Admin support tasks Booking appointments Hiring Companies: Entrepreneurs and SMEs globally Amazon sellers Coaches and consultants Tools You Need: Google Workspace, Zoom, Trello, Asana Affiliate Marketer Type: Commission-based / Freelance Earnings: ₹5,000 – ₹2,00,000+/month Scope: Product promotion via blogs, YouTube, or Instagram Commission on each sale or lead generated Popular Affiliate Programs: Amazon Associates Flipkart Affiliate Bluehost, Hostinger, Canva Pro E-commerce Manager / Dropshipper Type: Full-time / Entrepreneurial Income Potential: ₹50,000 – ₹3,00,000/month Platforms: Shopify WooCommerce Etsy (handmade goods) Skills To Learn: Product research Order fulfillment Social media ads Remote HR Consultant / Recruiter Type: Freelance / Contractual Average Salary: ₹30,000 – ₹1,00,000/month Responsibilities: Screening resumes Conducting interviews Onboarding processes Great For: MBA HR graduates People with strong interpersonal skills Tools: LinkedIn Recruiter Zoho Recruit Google Meet YouTube Channel Manager / Video Editor Type: Freelance / Contractual Average Salary: ₹25,000 – ₹1,00,000/month Skills Required: Video editing (Premiere Pro, CapCut, Final Cut Pro) Channel SEO optimization Thumbnail design Hiring Sources: Content creators EdTech startups YouTube influencer agencies Voiceover Artist / Podcast Editor Type: Freelance / Project-based Earnings: ₹1,000 – ₹10,000/hour (based on experience) Use Cases: YouTube videos Audiobooks Commercials Platforms To Join: Voices.com Fiverr Podcast editing services Remote Business Analyst / Project Manager Type: Full-time (Remote) Average Salary: ₹60,000 – ₹1,80,000/month Skills Required: Data interpretation Process improvement Agile methodologies Companies Hiring Remotely: Deloitte PwC Remote IT startups Also Read: Top Mumbai Based Companies Offering Remote Jobs How To Find High-Paying Remote Jobs In Chandigarh Here’s how to begin your search smartly: Visit CareerCartz – Use filters for remote, high-paying, and category-specific job listings. Update your LinkedIn profile – Add “open to remote work.” Create a strong portfolio – Especially important for writers, designers, and developers. Join freelance marketplaces – Upwork, Fiverr, Toptal. Network – Join Telegram groups, Slack communities, and LinkedIn niche forums. In-Demand Skills That Attract High Pay To land high-paying remote jobs, focus on these skills: 💻 Programming languages – Python, JavaScript, PHP ✍️ Content creation & SEO 🎨 UI/UX & Graphic Design 📈 Digital marketing & Paid ads 🎥 Video editing & animation 📊 Business analytics & data interpretation 🧠 Project and product management Certifications That Boost Remote Job Salaries Google Digital Marketing Certification – For marketers HubSpot Inbound Marketing – Content & lead gen AWS Cloud Practitioner – For IT roles Coursera UX Design by Google – For designers PMP® or Agile Scrum – For project managers LinkedIn Learning Certifications – Easy to add to your profile Platforms to Work Remotely & Earn in Dollars If you’re targeting international clients or companies , these platforms can help: Upwork Fiverr Toptal (for developers and designers) PeoplePerHour FlexJobs RemoteOK.io Tip: Create a PayPal or Wise account to accept international payments. Home Office Setup for Productive Remote Work To succeed in high-paying remote roles, set up a professional workspace: ✅ A reliable laptop (i5 processor or higher) ✅ High-speed internet (minimum 50 Mbps) ✅ Noise-canceling headphones ✅ Ergonomic chair and table ✅ Lighting and background for Zoom/Teams calls Tips to Get Hired Faster in Remote Jobs Tailor your resume for each role Include a link to your portfolio or GitHub Add relevant certifications Prepare for virtual interviews Be proactive on platforms like CareerCartz and LinkedIn Conclusion – High-Paying Work from Home Jobs in Chandigarh The remote work era is no longer a trend—it’s a movement. Chandigarh’s skilled professionals and freshers are in a prime position to leverage this shift by securing high-paying work from home jobs that offer financial independence, skill enhancement, and global exposure. Whether you’re a programmer, a marketer, a tutor, or a designer, there’s a lucrative remote opportunity just a few clicks away. Start with platforms like CareerCartz , enhance your skills, and position yourself to earn from anywhere starting today . FAQs – High-Paying Work from Home Jobs in Chandigarh Are high-paying WFH jobs really available in Chandigarh? Yes, many companies hire remotely across India, including Chandigarh. You can earn well by offering in-demand skills. What skills pay the most in remote work? Programming, digital marketing, UI/UX design, content writing, and project management are among the top-paying skills. Can freshers get high-paying remote jobs? Yes. If you have the right skills and certifications, many entry-level remote jobs offer attractive salaries. How can I find international WFH jobs that pay in dollars? Freelance platforms like Upwork, Toptal, and Fiverr connect you with international clients who pay in USD ($). Is freelancing better than a full-time remote job? It depends. Freelancing offers more flexibility and higher pay per project, while full-time roles provide stability and consistent income. Do I need a degree for these remote jobs? Not necessarily. Skills, experience, and certifications often matter more than formal degrees in the remote job market. Can I start a high-paying job from home without experience? Yes. With proper training and a solid portfolio of projects, you can land well-paying remote roles even as a beginner. What equipment do I need for remote work? A reliable laptop, high-speed internet connection, webcam, and basic accessories like headphones are essential. How do I avoid remote job scams? Apply only through verified platforms (e.g., CareerCartz), read company reviews, and never pay any upfront fees for job offers. Are these jobs flexible for homemakers and part-timers? Absolutely! Many high-paying freelance and part-time roles are ideal for homemakers, students, and anyone seeking flexible hours. Related Posts: Work from Home Jobs in Chandigarh for Freshers and College Students Genuine Work from Home Jobs in Chandigarh Without Investment Top 10 Remote Customer Service Jobs You Can Start Today The Pros and Cons of Working Remote Data Entry Jobs How to Land Your First Remote Entry-Level Job: Tips and Tricks How to Thrive in Remote Customer Service Jobs: Tips for Success Best Remote Customer Success Jobs You Can Work From Anywhere Top Remote Front End Developer Jobs Hiring in 2025 Show more Show less

We are seeking a Senior Customer Data Analyst to join our Customer Data Audience Operations Team within the Marketing & Data organization at Thomson Reuters. Based in Hyderabad, India, this role will support our Customer Data Platform (CDP) operations, helping marketers leverage customer data effectively through audience segmentation and activation. About The Role In this role as a Senior Customer Data Analyst, you will: Develop a comprehensive understanding of the CDP data structure, data models, tables, and available data types. Process and fulfill audience segmentation requests from marketing teams through our Workfront ticketing system. Create audience segments in Treasure Data CDP and push them to appropriate activation channels. Collaborate with marketing teams to understand their segmentation needs and provide data-driven solutions. Maintain documentation of segment creation processes and audience definitions. Monitor segment performance and provide recommendations for optimization. Stay current with AI capabilities within Treasure Data's AI Foundry to enhance segmentation strategies. Assist in troubleshooting data issues and ensuring data quality within segments. About You You’re a fit for the role of Senior Customer Data Analyst, if your background includes: Bachelor's degree in Computer Science, Information Technology, Engineering, Statistics, Mathematics, or related field. 6-8 years of experience in data analysis, data management, or related roles. Proficiency in SQL query writing and data manipulation. Basic understanding of marketing technology platforms (CDP, CRM, Marketing Automation). Ability to translate business requirements into technical specifications. Strong attention to detail and problem-solving skills. Excellent communication skills in English, both written and verbal. Experience with Treasure Data/Snowflake/Eloqua/Salesforce. Knowledge of AI/ML concepts and applications in marketing. Understanding of data privacy regulations and compliance requirements. Experience with data visualization tools. Basic programming skills (Python, R, etc.) Data analysis and interpretation. Familiarity with cloud-based data platforms. Understanding of relational databases. Microsoft Office Suite (especially Excel). Curiosity and eagerness to learn, Detail-oriented approach, Ability to work in a fast-paced environment, Team collaboration, Time management and prioritization abilities. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory) What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

About Tiger Analytics Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. About the role The position of Quantitative Technical Advisor will be designing and validating mathematical models used by the bank and conducting mathematical analysis of the data in the Market Risk and Counterparty Credit Risk division. Analyzing and building sector / industry risk assessment mathematical methodologies and quantitative measurement techniques for assessment of the credit risk exposures and evaluation of the structured products. Roles & Responsibilities: Monitor and validate aggregate model risk in alignment with bank’s risk strategy You will lead a team of Model validators, who use their predictive and AI Modeling knowledge to review and validate a wide variety of the models Manage a growing Model Validation team responsible for independent first line validation of predictive and generative AI models Perform independent validations of financial, statistical, and behavioral models commensurate with their criticality ratings Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness Interpret data to recognize any potential risk exposure Development of challenger models that help validate existing models and assist with outcome analysis Ensure compliance with the model risk monitoring framework Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards Exposure to CCAR/CECL/IRB Models are preferred. Evaluate the Bank’s compliance with SR 11-7 regulatory guidance" Qualification: Education: Graduate/Master degree in computer science, statistics, econometrics, mathematics, computational finance, or similar Deep knowledge in Quantitative methods / econometrics/ statistics. Strong in Regression analysis, Time series Analysis, optimization. Knowledge of Risk Models and Optimization algorithms. Good working knowledge of SAS, Python and SQL, Machine learning, exploratory data analysis Show more Show less

Job Description Are you passionate about data science with a comprehensive understanding of analytical principles, tools, technologies, and the capability to convey insights to both executive and non-technical audiences? If so, this could be the ideal opportunity for you. As an Analytics Solutions Analyst on the Instrumentation & Metrics (I&M) team, you are in integral part of the team that will be responsible for leveraging your expertise in data science to develop and maintain production grade models using various analytical techniques. You will provide ad-hoc analytics support to the Payments organization, transforming complex data into actionable insights. Additionally, you will guide the team on best practices and techniques in data science, ensuring the effective use of data to drive business decisions. Job Responsibilities Develop complex analytical models that provide a comprehensive view of the business by integrating data from multiple sources. Utilize advanced SQL, Alteryx, Tableau, and Python programming skills, along with expertise in multivariate statistics, quantitative modeling, and advanced analytical methods (e.g., supervised/unsupervised machine learning, time-series predictions, NLP, etc.). Conduct data discovery and analytics to extract insights that enhance existing financial products and support decision-making processes. Collaborate with product managers, data architects, software engineers, and business analysts to build a company-centric analytics product in a production environment. Demonstrate excellent understanding of business strategy and data science opportunities. Communicate complex data challenges and solutions to diverse audiences across various levels of the banking organization, including those unfamiliar with advanced machine learning techniques. Required Qualifications, Capabilities And Skills Bachelor’s or Master’s degree in statistics, mathematics, data science, or a related technical or quantitative field, with 3+ years of applied experience. Strong understanding of agile methodologies, statistics, and AI/ML engineering, with a proven track record of developing and deploying business-critical machine learning models in production. Proficiency in programming languages such as Python, and experience with machine learning frameworks, libraries, and APIs, including TensorFlow, PyTorch, Scikit-learn, etc. Ability to identify and address AI/ML challenges, implement optimizations, and fine-tune models for optimal performance. Basic knowledge of data system components to determine necessary controls. Excellent written and verbal communication skills to effectively convey technical concepts and results to both technical and business audiences. Preferred Qualifications, Capabilities And Skills Familiarity with the financial services industry. Background in NLP and advanced analytics. Knowledge of financial products and services, including trading, investment, and risk management. Experience working with databricks/snowflake. ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. Data Analyst Quality Customer Satisfaction Are you an experienced data analyst that has a passion and strong desire to utilize data to identify and drive decisions related to Quality of Volvo trucks? Who We Are If you want to be a part of an exciting Quality and Customer Satisfaction (Q&CS) team where you can drive and impact the quality of Volvo Trucks Brand, come join us! You will be engaged within the advanced analytics and machine learning initiatives focused on emerging issue detection, problem definition and resolution support within our team. This is done in parallel with other data and product quality leaders located across our sites Q&CS’s is part of Volvo Group Truck Technology Team. Our team’s mission is to ensure the product quality performance for the complete product line through investigating and prioritizing market product quality issues. Our data team secures the voice of the customer in the problem-solving processes through clear and concise data storytelling. This role supports achieving product quality goals and metrics that directly pertain to customer satisfaction. In this position you will use fundamental analytics approaches as well as advanced analytics techniques to accelerate field quality issue solving process. This process includes conventional, electric and fuel cell powertrains in our Trucks and Coaches. Volvo is a global organization. This position involve collaboration with sites located in Sweden, France, Brazil and US locations. What You Will Be Doing You will be part of the Q&CS product quality Bangalore organization. Your creative thinking and problem-solving skills will contribute to identifying and solving complex quality challenges through the areas of data mining and optimization. You will be actively working with quality issue management and ways to increase Uptime for our customers. QCS Data Analyst Will Be Responsible For All steps of an analytics assignment ranging from fundamental to advanced statistical techniques, in the areas of data & business value exploration, data structuring, modelling, problem solving & recommendation within the Quality team. You will develop & implement methodologies to assist Product Quality Leaders in emerging issue detection, forecasting & predicting quality & uptime performance. Working with various data sources but not limited to warranty, logged vehicle, customer data, manufacturing data, high resolution truck data. You will be able to deliver all steps independently but also establish a network working closely with colleagues in Europe, India & Brazil on various initiatives. Collaborateclosely with other Data Analysts, Data engineers, Data Architects and Data Scientists during theimplementationand deployment of the advance analytics solution Who You Are You are person with a passion for data driven decisions to solve important technical issues related to quality. A team player with eagerness to try and develop through collaboration, co-operation, and sharing insights, solutions, and ideas. Position Requirements Minimum bachelor’s degree in engineering, Computer Science, Mathematics, Statistics, or equivalent required. Graduate Degree Preferred Experience with problem solving in a quality organization that is technical focused. Very skilled in PowerBI Demonstrated experience with relevant technical tools such as: SQL, Python, R, Azure Analytics Cloud, Jupiter Notebook, and Apache Spark. Knowledge of unsupervised and supervised machine learning techniques. (Algorithms for classification, regression, clustering, or anomaly detection including but not limited to: K-means, Random Forest, etc.) You have excellent communication skills in English To be the perfect match for this role, your critical competencies will include: Must have good energy, a positive attitude, and thrive in creative thinking. Real problem solver and confident to make data driven decisions. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques Self-starter with the ability to prioritize critical tasks, as well as deliver on assignments within deadlines. Preferred qualifications (or willingness to learn!) Exposure to software development practices, including version control, unit testing, and code review. Process oriented individual with a continuous improvement mindset to drive DA product Ready to join our team and shape tomorrow’s society together with us? We value your data privacy and therefore do not accept applications via mail. Who We Are And What We Believe In We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation. Show more Show less

Summary Position Summary CBS Shared Services – Analyst/Senior Analyst Dashboards & Automation Team Deloitte Support Services India Private Limited Are you a quick learner? Do you enjoy automating work by building macros in Excel?Is slicing and dicing data your forte? Do you enjoy working on complex data and preparing reports and dashboards in Excel, Tableau, and Power BI? Do you enjoy offering solutions to clients on improving efficiencies? Responsibilities include, but are not limited to: Preparing reports and dashboards in Power BI, Tableau, & Excel Translate conceptual questions into data driven analysis for leaders to take informed decisions Creating timesaver templates and automating recurring actions through Excel macros Automating work for requestors to improve efficiencies and add value Creating dashboards and reports from Qualtrics survey data Creating forms and tables in Access and integrating with SharePoint Creating site pages and site contents (shared documents, lists, libraries, apps) and data entry into lists, forms, etc., in SharePoint Perform additional tasks as required Work location & shift timings Hyderabad office Hybrid model (work from Deloitte office minimum of two days in a week) 2 pm to 11 pm IST Qualifications A bachelor’s degree in statistics, computer science or mathematics with minimum of 2 to 5 years of work experience in data analytic tools Required Professional Skills : Excellent written and verbal communication skills with ability to communicate effectively with clients and leadership Strong time management, listening and comprehension skills to meet client’s expectations on quality and timelines Strong analytical and logical skills with great attention to detail Translate conceptual questions into data driven analysis for leaders to take informed decisions. Experience of metrics and analytics interpretation Coordinate work with other national and local teams virtually and in person Required Technical Skills : Advanced knowledge in Excel in using Power Query, pivots & slicers, graphs, functions & formulae, data validation, conditional formatting, advanced and custom filters, etc. Knowledge in Excel macros would be an addtional asset. Working knowledge in creating reports and dashboards in Power BI/Tableau Preferred Technical Skills : Advanced knowledge in MS SharePoint, PowerApps, SQL, Python and basic knowledge on Gen AI tools Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300373 Show more Show less

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, stakeholders from across the entire energy value chain are having to navigate the complexities of the energy ecosystem. We seek to enable our customers to do so with confidence. Our mission: Empowering Transformative Energy Decisions. Founded in 1999 in Adelaide, Australia, Energy Exemplar’s PLEXOS® modeling and simulation software is trusted by innovative organizations across the globe. On one unified platform, stakeholders from across the entire energy value chain are revolutionizing the energy ecosystem and seamlessly planning for the future of energy with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry: Finalist for the 2024 Reuters Global Energy Transition Awards in the 'Technologies of Change' category Finalist for the 2024 Go:Tech Awards in the 'Most Innovative Use of Technology’ category 2022 USEA/USAID Corporate Volunteer of the Year 2022 Impact Award Winner for our impact on the energy industry and the current energy transition At Energy Exemplar, we believe in empowering our people by offering flexibility in how, when, and where they work. This flexibility has been a cornerstone of our success, fueling significant growth over the years, with the company expanding at an impressive rate of approximately 30% year over year. We understand that the best results come when our team members can balance their professional and personal lives, so we support various working arrangements that help you thrive. We don’t just celebrate the excellence of our products but champion the quality of our people. They own their outcomes and perform to their best – every day. whether you're working from home, in the office, or on the go. Our flexible work culture fosters innovation, collaboration, and trust, making it easier to stay engaged and connected, no matter where you are. That’s what makes us who we are and a great place to work. Our core values ‘Customer Success’ , ‘One Global Team’ , ‘Integrity and Ownership’ and ‘Innovation Excellence’ reflect the way we work and are always at the forefront of everything we do. About The Role Energy Exemplar is the market leader in Energy Simulation Software. We exist so that our customers can make the most informed decisions at the most impactful times and want you to be part of that success. We are calling for Senior Energy Market Analyst to work with our team that develops simulation ready datasets in Pune. Accountabilities Key Accountabilities and Duties: Reporting to Global Director of Data and Market Analysis Helping to supervise the development and maintenance of Global (North America/Europe/APAC regions) Power and Natural Gas Market models/dataset using PLEXOS/Aurora tools Lead and coordinate market research, model updates, result analysis, model benchmarking etc Day To Day Duties Work in a team of energy data analysts Work on projects to deliver standalone dataset and portions of dataset using fundamental data along with PLEXOS and Aurora power market models Applying heir knowledge in various power market to direct that analysis of power markets, undertaking research, analyzing and manipulating data and processing data for input into power market models Trouble shooting market models Benchmarking production cost models Running PLEXOS and/or Aurora and or directing others analysts in running and interpreting output model results and energy balances Comparing models and reviewing preliminary forecast output results for inconsistencies to ensure deliveries meet product specification Problem solving and interpretation of market models and ability to detect errors and omissions Troubleshoot market models and intermediate work products for errors, omissions, and improvements. Foundation Skills And Experience with energy market modelling High level of numeracy, computer, and web literacy. Strong foundational skills and understanding of energy economics for power market fundamentals and economic concepts of power markets Knowledge of production cost modelling software’s like PLEXOS (preferred), Aurora or Pro-mod, or similar Expert knowledge of Power Plant/Natural Gas Economics, Power Systems, Gas supply chain, Operation research/Optimization techniques, statistics, and Energy (Power &/ Gas) Markets/Industry Knowledge and experience with transmission planning and nodal market modeling including generator mapping, assessing N-x contingencies, understanding and troubleshooting nodal model infeasibilities and other planning related power flow analysis Demonstrated ability to work autonomously, direct other analyst productively, and oversee projects/assignments through from start to finish. Self-starter, organized, persistent, goal driven, has a can-do attitude, takes challenges as opportunities to perform and add value Diligent, systematic, and pays attention to detail to ensure work accuracy and quality Punctual, Professional work and phone etiquette Experience 4 to 6 years of experience with Energy Modeling and Power Market Analysis. Knowledge of or experience working in several North American, European or Asian power markets Strong analytical and problem-solving skills with the ability to research and learn new techniques Experience in creating and analyzing energy data sets for power models Experience working at a market operator, project developer, or at a utility in planning or commercial operations would be an asset Knowledge of one or more energy economic modeling tools: PLEXOS, Aurora, PROMOD, PSO, MarketAnalytics and/or PROSYM Strong organizational skills, familiarity with Agile/Sprint Best Practices Expert skills using Excel, Power BI and similar tools Qualifications Bachelor’s degree in Economics (preferred), Electric Engineering (Transmission preferred), or Mathematics. Master’s degree or Ph.D would be preferred. Energy Exemplar is an equal opportunities employer and we value your unique identity and perspective. We are fully committed to providing and fostering a workplace that reflects the diversity of society. Bring your authentic self and help us build an inclusive world together! To support you in being the best version of yourself during the application and interview process, please let us know if you have any specific requirements. Show more Show less