524 Predictive Analytics Jobs - Page 9

About The Role Project Role : Infra Tech Support Practitioner Project Role Description : Provide ongoing technical support and maintenance of production and development systems and software products (both remote and onsite) and for configured services running on various platforms (operating within a defined operating model and processes). Provide hardware/software support and implement technology at the operating system-level across all server and network areas, and for particular software solutions/vendors/brands. Work includes L1 and L2/ basic and intermediate level troubleshooting. Must have skills : Oracle Database Administration (DBA) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Infra Tech Support Practitioner, you will engage in the ongoing technical support and maintenance of production and development systems and software products. Your typical day will involve addressing various technical issues, providing solutions, and ensuring the smooth operation of configured services across multiple platforms. You will work both remotely and onsite, collaborating with team members to troubleshoot and resolve hardware and software challenges while adhering to established operating models and processes. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of technical processes and procedures to enhance team knowledge.- Engage in continuous learning to stay updated with the latest technologies and best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Database Administration (DBA).- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for Oracle databases.- Familiarity with performance tuning and troubleshooting of database systems.- Knowledge of SQL and PL/SQL for database querying and scripting. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Database Administration (DBA).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Tech Delivery Subject Matter Expert Project Role Description : Drive innovative practices into delivery, bring depth of expertise to a delivery engagement. Sought out as experts, enhance Accentures marketplace reputation. Bring emerging ideas to life by shaping Accenture and client strategy. Use deep technical expertise, business acumen and fluid communication skills, work directly with a client in a trusted advisor relationship to gather requirements to analyze, design and/or implement technology best practice business changes. Must have skills : HR Process Design Good to have skills : HR AnalyticsMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Tech Delivery Subject Matter Expert, you will engage in a dynamic and collaborative environment where you will drive innovative practices into delivery. Your typical day will involve working closely with clients to understand their needs, analyzing requirements, and implementing technology best practices. You will leverage your expertise to enhance the reputation of the organization in the marketplace while shaping strategies that bring emerging ideas to life. Your role will require you to communicate effectively and build trusted relationships with clients, ensuring that their objectives are met through tailored solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops and meetings to gather requirements and present findings.- Develop and document best practice processes to enhance operational efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in HR Process Design.- Good To Have Skills: Experience with HR Analytics.- Strong understanding of process mapping and optimization techniques.- Ability to analyze and interpret data to inform decision-making.- Excellent communication and interpersonal skills to foster collaboration. Additional Information:- The candidate should have minimum 2 years of experience in HR Process Design.- This position is based at our Gurugram office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI/ML frameworks to ensure they meet evolving business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of data preprocessing techniques and feature engineering.- Experience with various machine learning algorithms and their applications.- Ability to interpret and visualize data insights effectively.- Familiarity with programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design and develop applications- Collaborate with cross-functional teams- Contribute to key decisions Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders, all while fostering an environment of innovation and continuous improvement. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Natural Language Processing (NLP).- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing techniques and text analytics.- Familiarity with programming languages such as Python or R for data analysis.- Ability to communicate complex technical concepts to non-technical stakeholders. Additional Information:- The candidate should have minimum 12 years of experience in Natural Language Processing (NLP).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Oracle Database Administration (DBA) Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will serve as a vital link between clients and the systems or applications they utilize. Your day will involve engaging with clients to understand their needs, troubleshooting issues, and ensuring that our high-quality systems operate seamlessly. You will leverage your exceptional communication skills to provide clarity and support, while also utilizing your in-depth product knowledge to design effective resolutions for client challenges. Your role is essential in maintaining the integrity and performance of our applications, ensuring client satisfaction and operational excellence. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the development and implementation of best practices for application support.- Provide training and guidance to junior team members to enhance their skills and knowledge. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Database Administration (DBA).- Strong understanding of database management and optimization techniques.- Experience with backup and recovery strategies for Oracle databases.- Familiarity with performance tuning and troubleshooting of database systems.- Knowledge of SQL and PL/SQL for effective database querying and manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Database Administration (DBA).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Axalta has remained at the forefront of the coatings industry by continually investing in innovative solutions. We engineer technologies that protect customers products whether they are battling heat, light, corrosion, abrasion, moisture, or chemicals and add dimension and beauty with colourful finishes. We have a vast and ever-evolving portfolio of brands primed to play an important part in everything from modernizing infrastructure around the world to enabling the next generation of electric and autonomous vehicles. We are seeking an IT Pricing Analyst for Gurgaon location. Job Description: IT Pricing Analyst Candidate should have 2-4 years of experience in SAP-OTC. Knowledge of Bright Price Suite pricing tool will be preferable, but not mandatory. He/she should be proficient in executing pricing analytics, defining pricing rules, data transformation and validation. Bright Price Suite Run & Maintain : He/she will be responsible for Run& Maintain of pricing tool used by Axalta- Bright Price Suite. He/she will be first level of contact for with Business for any pricing related queries. The responsibilities also include ensuring Axalta global business standards are being followed, setting up new users on Bright Price Suite, testing/validating changes/enhancements done by SPOSEA team etc. Pricing performance monitoring and reporting: Work with Phase 2 business leads to understand requirements. He/she will also be involved in converting existing pricing conditions to corresponding S/4 conditions, create templates for loading new pricing condition records for US/Canada, perform pre & post validation Build : The candidate should possess good understanding of pricing models. He/she should be able to simulate & model different scenarios to ensure customer/material discount combinations should lead to the same net net price despite of the change. Preparation of S4 mass-uploader will also be required to upload pricing data via Bright Price Suite. Post upload, the analyst should perform data validation in S/4 to verify data accuracy. Test : Provide tools & techniques to do spot- and mass-tests to get buy in from the organization. The candidate should also have an expert knowledge of Microsoft Excel to work with large pricing data Pivots/VLOOKUPs Train : Develop training materials together with the Pricing SMEs and support training of business teams. With the upcoming S/4 roll outs, training the new business being onboarded is critical. Axalta operates its business in two segments: Performance Coatings and Mobility Coatings, which serve four end markets, including Refinish, Industrial, Light Vehicle and Commercial Vehicle, across North America, EMEA, Latin America and Asia-Pacific. Our diverse global footprint allows us to deliver solutions in over 140+ countries and coat 30 million vehicles per year. Weve recently set an exciting 2040 carbon neutrality goal, in addition to 10 other sustainability initiatives, and we take pride in working with our customers to optimize their businesses and achieve their goals Axalta has remained at the forefront of the coatings industry by continually investing in innovative solutions. We engineer technologies that protect customers products whether they are battling heat, light, corrosion, abrasion, moisture, or chemicals and add dimension and beauty with colorful finishes. We have a vast and ever-evolving portfolio of brands primed to play an important part in everything from modernizing infrastructure around the world to enabling the next generation of electric and autonomous vehicles. 2 - Professionals (EEO-1 Job Categories-United States of America)

About The Role Job Title - S&C Global Network - AI - T&O - Human Capital Analytics Analyst Management Level: 11-Analyst Location: Kolkata, KDC1A Must-have skills: Human Capital Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Overview:- We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Who we are looking for Education : Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from premier institute Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Good to Have:- PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

About The Role Job Title - S&C Global Network - AI - T&O - Human Capital Analytics Analyst Management Level: 11-Analyst Location: Bengaluru, BDC7C Must-have skills: Human Capital Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. In S&C GN - Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Overview:- We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Who we are looking for Education : Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from premier institute Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Good to Have:- PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5Years Educational Qualification: Any Degree

About The Role Management Level: 09 - Senior Consultant Location: Gurgaon/Bangalore/Mumbai Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, HR Analytics, SQL, Cloud (AWS/Azure), Power BI, Tableau Good to have skills: PySpark, PyTorch, HTML5, JS, Big Data Technologies, Data Governance, Cloud Integrations Job Summary : We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Roles & Responsibilities: Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Professional & Technical Skills: Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Additional Information: PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 5 years of experience is required (with 2-3 years in People/Human Analytics) Educational Qualification: Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from a premier institute

About The Role Management Level: 09 - Senior Consultant Location: Gurgaon/Bangalore/Mumbai Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, HR Analytics, SQL, Cloud (AWS/Azure), Power BI, Tableau Good to have skills: PySpark, PyTorch, HTML5, JS, Big Data Technologies, Data Governance, Cloud Integrations Job Summary : We're on the lookout for a dynamic and experienced Data Science Consultant for an Advanced People Analytics practice who is great at turning numbers into stories. In this pivotal role, you will harness the power of data to uncover insights that will help us understand our workforce better, making our employees happier and our organization more successful. Roles & Responsibilities: Develop advanced statistical models to support HR Analytics offerings and solutions using good experience in data analysis and interpretation which helps clients to solve some of the core problems for diverse use cases across different industries. Should be expert in Python Programming Language to create efficient and deployable models and should have knowledge of ML API integrations with different solutions. Should have good knowledge on SQL and familiarity with at Relational and Non-Relational Databases. Use the cutting-edge ML and Data science Skills like Deep learning, LLM, TensorFlow, Time Series Forecasting, Boosting & Bagging, Cohort and Cluster Analysis etc. Deep Expertise on AWS/AZURE Cloud Services (certification Preferred). Anyone Cloud is preferred. Architect effective, scalable, and easy-to-understand dashboards and reporting solutions to identify useful and practical insights for the HR team and business leaders Be a data storyteller - Produce concise, story-driven reports and/or presentations to communicate analytic insights. Utilize Deep expertise in building product ready dashboards utilizing Power Bi and Tableau as the key BI tools. Should have 2-3 years building dashboards as key skill. Be capable of developing new KPIs, metrices and derive strategical insights. Excellent communication skills and ability to translate the business problem into an analytical problem. Cultivate and maintain strong relationships with clients , Understanding their unique challenges and objectives. Should be able to discuss key requirements from clients and navigate towards solutioning it. Should be able to manage Project Teams in terms of guiding the Analysts, Associates to design the desired solution and should be able to work on time bound deliverables. Proficient in engaging and collaborating with diverse onshore/offshore teams, demonstrating self-motivation and the ability to navigate and adapt within an agile environment. Capable of taking initiative and adjusting project course as necessary Use mathematical concepts, statistical analysis, experience, and industry knowledge to resolve complex issues creatively and effectively. Design and execute regular and ad-hoc reporting on key HR metrics, offering actionable insights to guide strategic HR decisions. Assist in creating communication materials and PPT presentations to support analysis, implementation of programs, or strategic initiatives updates. Should have good exposure on building ready to be used decks for different client engagements. Professional & Technical Skills: Overall 5+ years experience in Analytics domain with 2-3 years in people/Human analytics or relevant domain Strong understanding of People function, people metrics, talent management processes, and organizational dynamics. Excellent problem-solving skills and the ability to convert complex data into actionable insights. Strong communication skills to convey insights and recommendations to both technical and non-technical audiences. Leadership experience, with a track record of effectively managing high visibility analytics projects. Experience with predictive analytics, machine learning, or statistical modeling is a plus. Additional Information: PySpark/PyTorch framework exposure would be a bonus . Knowledge towards Data Governance, Cloud Integrations, Change Management, Big Data Technologies etc. is appreciated. Html 5/js skills are a bonus. Optimization Theory and People Analytics Consulting Experience Preferred. About Our Company | Accenture (do not remove the hyperlink)Qualification Experience: Minimum 5 years of experience is required (with 2-3 years in People/Human Analytics) Educational Qualification: Masters degree in Economics / Statistics / Mathematics/ Engineering or related Analytics discipline from a premier institute

About The Role Project Role : Analytics Practitioner Project Role Description : Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills : Python (Programming Language) Good to have skills : Amazon Web Services (AWS), Machine LearningMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Analytics Practitioner, you will engage in developing business insights through predictive statistical modeling activities. Your typical day will involve utilizing various analytical tools and techniques to generate and enhance decision-making processes by modeling client, market, and key performance data. You will collaborate with cross-functional teams to ensure that the insights derived are actionable and aligned with business objectives, ultimately contributing to the overall success of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate the effectiveness of implemented solutions and strategies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), Gen AI, Agentic, & Machine Learning- Good To Have Skills: Experience with Amazon Web Services (AWS), Machine Learning.- Strong understanding of data analysis techniques and methodologies.- Experience with data visualization tools to present insights effectively.- Familiarity with statistical modeling and predictive analytics. Additional Information:- The candidate should have minimum 5 years of experience in Python (Programming Language).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP HANA Technical Architecture Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement in application design and functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP HANA Technical Architecture.- Good To Have Skills: Experience with application development frameworks.- Strong understanding of database management and optimization techniques.- Familiarity with cloud computing concepts and deployment strategies.- Experience in integrating applications with various data sources. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP HANA Technical Architecture.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Delivery - Business Insights Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations Transformation team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.The Sales AI/BI & Data Science team is responsible for inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making. Hands on with python programming & understanding of machine learning models. You will have to understand and interpret insights where applied statistics, pattern analysis, forecasting models, predictive analytics or similar methods have been used. What are we looking for Ability to manage multiple workstream and stakeholders. Ability to perform under pressure and agility for quick learning. Ability to establish strong client relationship. Ability to handle disputes. Ability to manage multiple stakeholders and meet deadlines. Strong analytical skills. Working knowledge and experience in building forecasting models. Sales Operations. Microsoft Excel. Sales Reporting & In-depth transformational project experience. Transformation using automation levers and tech of Python, Artificial Intelligence, Machine Learning, Natural Language Processing, and Integration. Good to have exposure to Microsoft Power BI, Power Query and Power Pivot. Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. The person would require understanding of the strategic direction set by senior management as it relates to team goals. Manage the end-to-end project lifecycle, from the inception to fruition and ensure the combined forces of tech and function deliver as expected. May create new solutions, leveraging and, where needed, adapting existing methods and procedures. Work with Global teams, specialized teams across the functions to contribute to the project outcomes. May interact with peers and/or management levels at a client and/or within Accenture. Guidance would be provided when determining methods and procedures on new assignments. Decisions made by you will often impact the team in which they reside. Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture. You will be typically creating new solutions, leveraging and where needed adapting to the existing methods and procedures. Your primary upward interaction is with direct supervisor team leads. You will generally interact with peers and / or management level with clients or internal stakeholders. You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments. Qualification Any Graduation

About The Role Skill required: Delivery - Customer Insight & Marketing Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIProcess by which data from customer behavior is used to help make key business decisions via market segmentation and predictive analytics. This information is used by businesses for direct marketing, site selection, and customer relationship management. What are we looking for Data Analytics - with a specialization in the marketing domain Ability & experience working with paid media, CRM, Digital Advertising Analytics Website clickstream data and GA 4 Knowledge Highly experienced with SQL, Python and Big Query for exploring large datasets. Data Storytelling Familiarity with Tableau and Looker is a plus Problem-solving skills Ability to establish strong client relationship Ability to manage multiple stakeholders Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

As an experienced professional with over 18 years in the Telecom, New Age/Tech, Customer Service, and Retail industries, you will be responsible for leading the Quality and Process Excellence team for a large business with global deliveries. Your role will require you to have a Graduate/Post Graduate degree with at least the last 10 years in the IT/BPO industry. It is essential to have Lean and Six Sigma Black Belt/Master Black Belt certifications to drive quality certifications like ISO, CMMI, COPC, and execute high-impact continuous improvement projects using Lean, Six Sigma, and Transformation methodologies. Your responsibilities will include proactively identifying opportunities for improvements and potential risks, collaborating with internal and external stakeholders to address them, and driving business value generating projects for customers and the organization. Additionally, you will lead innovation and change initiatives across the business in alignment with customer and internal transformation teams. Your strong interpersonal, people management, analytical, and communication skills will be crucial in managing clients, internal senior stakeholders, and global teams across different geographies and time zones. Having a proven track record in problem-solving and innovation, especially in technology-enabled solutions like RPA, Low Code No Code, AI, and Gen AI, will be advantageous. Furthermore, a good understanding of various pricing models, financials, and P&L, along with the ability to drive descriptive, prescriptive, and predictive analytics for different engagements, will be valuable in ensuring best-in-class customer experience. You will also be expected to own the charter of Start Green and Stay Green to identify and replicate best practices throughout the business.,

Key Responsibilities Extract and analyze data from company databases to drive the optimization and enhancement of product development and marketing strategies. Analyze large datasets to uncover trends, patterns, and insights that can influence business decisions. Leverage predictive and AI/ML modeling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more. Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more. Conduct experiments to fine-tune machine learning models and evaluate their performance using appropriate metrics. Deploy machine learning models into production environments, ensuring scalability Qualifications Bachelor's, Master's or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. 2+ years of experience in Analytics, Machine learning, Deep learning. Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn). Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats. Hands-on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection). In-depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases. Experience with model evaluation techniques (e.g., cross-validation, A/B testing, performance metrics). Experience with cloud platforms (AWS, GCP, Azure) for model deployment and scalal Proficiency in data processing and manipulation techniques. Excellent problem-solving skills and the ability to work effectively in a collabor environment. Strong communication skills to convey complex technical concepts to non-tech stakeholders. Good To Have Experience in the [banking/financial services/industry-specific] sector. Familiarity with cloud-based machine learning platforms such as Azure, AWS, or GCP. Skills: recommendation systems,pytorch,cloud,anomaly detection,numpy,python,data cleaning,deep learning,predictive analytics,a/b testing,machine learning,pandas,tensorflow,scikit-learn,data wrangling,cloud platforms (aws, gcp, azure),model evaluation techniques,cross-validation,keras,machine learning models,

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Business Analyst Data Scientist In this role, the person is responsible for developing and implementing NLP models and algorithms, extracting insights from textual data, and collaborating with cross-functional teams to deliver AI solutions. Responsibilities Model Development: Familiar with different statistical, ML and ensemble algorithms Proficient with Time series algorithms and forecasting usecases Understand model specific strengths and weaknesses and know-how of suitable and unsuitable models for different problems Understand evaluation metrics and recommend the correct evaluation metric for a problem type Data Analysis: Extract meaningful insights from structured data. Preprocess data for ML / AI applications Collaboration: Work closely with data scientists, engineers, and business stakeholders. Provide technical guidance and mentorship to team members. Integration and Deployment: Integrate ML models into production systems. Implement CI/CD pipelines for continuous integration and deployment. Documentation and Training: Document processes, models, and results. Provide training and support to stakeholders on NLP techniques and tools. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor's degree in computer science, Engineering, or a related field. Strong programming skills in Python and R Experience with DS frameworks (SKLEARN, NUMPY). Knowledge of machine learning concepts and frameworks (TensorFlow, PyTorch). Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Preferred Qualifications/ Skills Predictive Analytics Experience inMachine Learning techniques Experience in Python/R/ Any other open-source programming language Building and implementing models, using/creating algorithms and creating/running simulations using a variety of Tools Good to have - Experience in visualization tools such as Tableau, Power BI, Qlikview etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge and experience of tools/techniques: Forecasting, Linear Regression, Logistic Regression, Regularization, Segmentation (Decision Trees, CHAID, CART), Cluster Analysis, Factor Analysis, variable screening, Machine Learning Random Forest, Gradient Boosting, SVM, XGBoost, Deep Learning etc. Experience with big data technologies (Hadoop, Spark). Knowledge of cloud platforms (AWS, Azure, GCP). Job Business Analyst Primary Location India-Hyderabad Education Level Bachelor's / Graduation / Equivalent Job Posting Apr 1, 2025, 8:47:23 AM Unposting Date May 1, 2025, 7:29:00 PM Master Skills List Digital Job Category Full Time,

Role & responsibilities The Assistant Manager/Deputy Manager Business Analysis is responsible for solving unstructured business problems using advanced analytics, developing data-driven strategies to improve profitability and processes in the collections business , and presenting insights to global leadership. The role includes both technical analytics execution and strategic implementation ownership with VP-level stakeholder interaction. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Experience: 26 years in analytics/consulting, with 2+ in financial services. Skills: SQL, Python (Pandas, PySpark), Azure (Must) Excel, PowerPoint. Traits: Strong problem-solving, project management, and communication/storyboarding skills. Education: Bachelor's/Masters with strong and consistent academic record in Engineering or quantitative/statistical background preferred.

About Bazaarvoice At Bazaarvoice, we create smart shopping experiences. Through our expansive global network, product-passionate community & enterprise technology, we connect thousands of brands and retailers with billions of consumers. Our solutions enable brands to connect with consumers and collect valuable user-generated content, at an unprecedented scale. This content achieves global reach by leveraging our extensive and ever-expanding retail, social & search syndication network. And we make it easy for brands & retailers to gain valuable business insights from real-time consumer feedback with intuitive tools and dashboards. The result is smarter shopping: loyal customers, increased sales, and improved products. The problem we are trying to solve : Brands and retailers struggle to make real connections with consumers. Its a challenge to deliver trustworthy and inspiring content in the moments that matter most during the discovery and purchase cycle. The result? Time and money spent on content that doesnt attract new consumers, convert them, or earn their long-term loyalty. Our brand promise : closing the gap between brands and consumers. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, Asia and Australia. It s official: Bazaarvoice is a Great Place to Work in the US , Australia , India , Lithuania, France, Germany and the UK ! Job Description : Roles and Responsibility: - Marketing Performance Analysis & Reporting - Customer Insights & Segmentation - Data-Driven Strategy & Optimization - Data Management & Integrity - Forecasting & Predictive Analytics - Cross-Functional Collaboration Must have Skillsets: - Looking for 5+ years candidates experienced in Marketing Domain. - Experience in Google Analytics, Salesforce, Marketo - Candidate should understand the marketing funnel from top to bottom. - Candidate should be well versed with Tableau reporting Why You ll Love Working with Us? - Work with cutting-edge technology in a collaborative, global team. - Competitive salary + good benefits (insurance, annual leave, bonuses, referral rewards, and more). - We re Great Place to Work Certified (3 years in a row!). - Hybrid work model ( 3 days in office - Prestige Pacific tech park, Kaadubeesanahalli,Bellandur). #LI-Hybrid#LI-CK1 Why join Bazaarvoice? Customer is key We see our own success through our customers outcomes. We approach every situation with a customer first mindset. Transparency & Integrity Builds Trust We believe in the power of authentic feedback because it s in our DNA. We do the right thing when faced with hard choices. Transparency and trust accelerate our collective performance. Passionate Pursuit of Performance Our energy is contagious, because we hire for passion, drive & curiosity. We love what we do, and because we re laser focused on our mission. Innovation over Imitation We seek to innovate as we are not content with the status quo. We embrace agility and experimentation as an advantage. Stronger Together We bring our whole selves to the mission and find value in diverse perspectives. We champion what s best for Bazaarvoice before individuals or teams. As a stronger company we build a stronger community. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world s smartest network of consumers, brands, and retailers.

Flipkart is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journeyData Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process.Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection.Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability.Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders.Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy.Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization.Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities.Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations.

Requesting only candidates with relevant experience to apply for the position. We are looking for candidates who can join us immediately or 30 days of official Notice Period Role & responsibilities: You would be required to Identify, develop and implement the appropriate statistical techniques, algorithms and Deep learning / ML Models to create new, scalable solutions that address business challenges across industry domains. Define, develop, maintain and evolve data models, tools and capabilities. Communicate your findings to the appropriate teams through visualizations Collaborate and communicate findings to diverse stakeholders Provide solutions for but not limited to: Object detection/Image recognition, natural language processing, Sentiment Analysis, Topic Modeling, Concept Extraction, Recommender Systems, Text Classification, Clustering , Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, Gen AI and LLMs. Follow/maintain an agile methodology for delivering on project milestones. Preferred candidate profile Bachelors/ Masters/ PhD degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Applied Mathematics or related technical degree. 6 plus years total experience with minimum of 5 years of experience in a related position, as a data scientist building Predictive analytics, Computer Vision, and NLP solutions for various types of business problems. Advanced knowledge of statistical techniques, machine learning algorithms and deep learning frameworks like Tensorflow, Keras, Pytorch Programming background and expertise in building models using at least one of the following languages: Python, R , C, C++

Skill required: Delivery - Adobe Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. Adobe Analytics is a solution for applying real-time analytics and detailed segmentation across all marketing channels. It gathers structured and unstructured customer data from online and offline sources, applies real-time analytics, and shares insights across an organization. It provides the capabilities of Web & Mobile Analytics, Marketing Analytics, Predictive Analytics. What are we looking for Adobe Analytics & Looker Minimum 4 years of experience in digital analytics. Must have a good understanding of digital marketing landscape and relevant tools Extensive working experience in Adobe Analytics & Looker products Reporting & Analytics, Ad hoc Analysis, Workspace Experience in SQL and Snowflake/GCP Ability to translate the business trends to simple actions visuals Experience in Beatty/CPG/Retail Adaptable and flexible Ability to work well in a team Agility for quick learning Commitment to quality Written and verbal communication Roles and Responsibilities: Identify relevant data sources and determine effective methods for data analysis Transform the raw data from data sources to aggregate/consumable data for visualization tool and build appropriate schema/relation Design, develop, and maintain user-friendly data visualizations that align with project objectives Collaborate with cross-functional teams to understand project requirements and establish data-related project briefs Deployment of dashboard to productions and track for regular refresh Set-up alters and appropriate access controls for dashboards Ability to track and report where data not captured appropriately especially when there are tagging gaps Update, create, and support databases and reports, incorporating key metrics critical for guiding strategic decisions Ensure data accuracy, completeness, and reliability in all reporting activities Continuously refine and improve existing dashboards for optimal performance and user experience Implement user feedback and conduct usability testing to enhance dashboard effectiveness Stay abreast of industry developments and incorporate innovative techniques into visualization strategies Drive adoption of reports Qualification Any Graduation

Working Hours : 2PM to 11PM IST Mid-Level ML Engineers / Data Scientist Role : (4-5 years of experience ) - Experience processing, filtering, and presenting large quantities (100K to Millions of rows) of data using Pandas and PySpark - Experience with statistical analysis, data modeling, machine learning, optimizations, regression modeling and forecasting, time series analysis, data mining, and demand modeling. - Experience applying various machine learning techniques and understanding the key parameters that affect their performance. - Experience with Predictive analytics (e.g., forecasting, time-series, neural networks) and Prescriptive analytics (e.g., stochastic optimization, bandits, reinforcement learning). - Experience with Python and Python packages like NumPy, Pandas and deep learning frameworks like TensorFlow, Pytorch and Keras - Experience in Big Data ecosystem with frameworks like Spark, PySpark , Unstructured DBs like Elasticsearch and MongoDB - Proficiency with TABLEAU or other web-based interfaces to create graphic-rich customizable plots, charts data maps etc. - Able to write SQL scripts for analysis and reporting (Redshift, SQL, MySQL). - Previous experience in ML, data scientist or optimization engineer role with a large technology company. - Experience in an operational environment developing, fast-prototyping, piloting, and launching analytic products. - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations. - Experience in creating data driven visualizations to describe an end-to-end system. - Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science, operations research, and business backgrounds. - Bachelors or Masters in Artificial Intelligence, Computer Science, Statistics, Applied Math, or a related field.

Type : Internship Duration : 6 Months Key Responsibilities: Collect, process, and analyze data from various internal systems and external sources. Develop and maintain dashboards, reports, and visualizations to support business objectives. Identify trends, anomalies, and opportunities through data analysis and communicate findings to stakeholders. Collaborate with business, product, and engineering teams to define KPIs and performance metrics. Perform exploratory data analysis to uncover business insights and support strategic planning. Use statistical techniques to develop predictive models or support A/B testing. Ensure data quality and integrity by validating datasets and troubleshooting discrepancies. Document data processes and maintain version control for reports and code. Requirements: Bachelors degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 1-3 years of experience as a Data Analyst or in a related analytical role. Proficient in SQL, Excel, and at least one data visualization tool (e.g., Power BI, Tableau, Looker). Experience with data analysis tools/languages such as Python, R, or similar. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills and the ability to present complex data in a clear and actionable manner. Experience in e-commerce industry Understanding of basic statistical methods and predictive analytics. Should have minimum 6 months career gap at present.