213 Data Wrangling Jobs - Page 6

Join the Consumer & Community Banking division at Chase, a leading U.S. financial services firm as a skilled data professional in our Data & Analytics team. As an Analytical Solutions Manager within the Consumer and Community Banking (CCB) Finance Data & Insights Team, you will be a part of an agile product team responsible for the development, production, and transformation of financial data and reporting across the Consumer and Community Banking division. Your ability and passion to think beyond raw and disparate data will enable you to create data visualizations and intelligence solutions that will be utilized by the organization's top leaders to achieve key strategic imperatives. You will assist in identifying and assessing opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to implement automated solutions. You will be responsible for extracting, analyzing, and summarizing data for ad hoc stakeholder requests and play a significant role in transforming our data environment to a modernized cloud platform. Transform raw data into actionable insights, demonstrating a history of learning and implementing new technologies. Lead the Finance Data & Insights Team, an agile product team, taking responsibility for the development, production, and transformation of financial data and reporting across CCB. Improve the lives of our people and increase value to the firm by leveraging the power of data and the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills of the future. Join an agile product team as an Analytical Solutions Manager on the CCB Finance Data & Insights Team, responsible for the development, production, and transformation of financial data and reporting across CCB. Lead conversations with business teams and create data visualizations and intelligence solutions utilized by the organization's top leaders to reach key strategic imperatives. Identify and assess opportunities to eliminate manual processes and utilize automation tools such as Alteryx or Thought Spot to bring automated solutions to life. Extract, analyze, and summarize data for ad hoc stakeholder requests, playing a role in transforming the data environment to a modernized cloud platform. Minimum 8 years of experience in SQL is a MUST. Minimum 8 years of experience developing data visualization and presentations. Experience with data wrangling tools such as Alteryx. Experience with relational databases utilizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses. Knowledge of modern MPP databases and big-data (Hadoop) concepts. Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data. Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data. Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions. Data architecture experience is needed. Preferred qualifications, capabilities and skills include experience with LLM, Hive, Spark SQL, Impala, or other big-data query tool, Home Lending business understanding as a major advantage, and experience with AWS, Databricks, Snowflake, or other Cloud Data Warehouse, Thought Spot experience.,

Join us as an Assistant Vice President- Credit Strategy at Barclays, where you will spearhead the development of Credit Strategies for some of the well-known co-brand credit cards. You will utilize industry-leading tools to enhance credit strategies. You may be assessed on key skills relevant for success in the role, such as experience with SAS/SQL, knowledge of Lending products especially Credit cards, understanding of the credit underwriting process, as well as job-specific skillsets. To be successful as an Assistant Vice President - Credit Strategy, you should have experience with: Basic/ Essential Qualifications: - College degree required; quantitative disciplines preferred; master's degree preferred - Analytical experience in the financial services industry; credit card experience preferred - Experience building underwriting and/or line assignment credit strategies - Experience with SAS/SQL or other relevant statistical tools Desirable skillsets/ good to have: - Strong analytical, technical, and statistical skills with a proven ability to process vast amounts of data into meaningful information - Strong knowledge of SQL, SAS, and Excel - Strong communication skills, with the ability to present information clearly, in both written and verbal form - Previous experience in the Financial Services Industry and Credit Risk Management Preferred - Ability to thrive in a dynamic and fast-paced environment Key Accountabilities: - Utilizing segment-level valuations, develop Credit Strategies (Underwriting, Line, and Pricing) for the US Partner Portfolio (50%) - Evaluate alternative data for underwriting and line assignment strategies using statistical analysis techniques such as CHAID Decision Trees, optimization procedures, loss forecasting, enhanced process monitoring, data quality analyses, and incorporate score implementations supporting launch (20%) - Develop and monitor customized manual underwriting process (10%) - Work with Segment / Strategic Analytics / Decision Science staff to ensure project completion within agreed time frames and end-client satisfaction (10%) - Analyze, validate, track, and monitor delivered projects (100%) Stakeholder Management and Leadership: The person in this role will interact with Customer Office, Credit Risk, Finance, Segment teams, Customer Delivery, and Technology teams to ensure the correct implementation of the targeting strategies. Decision-making and Problem Solving: Strong problem-solving skills are required. The person needs to be resourceful with a can-do attitude to independently push tasks forward while working with key stakeholders. Ability to make decisions on the fly when equipped with the right background information and business insights. Risk and Control Objective: Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework, and internal Barclays Policies and Policy Standards. This role will be based out of Noida, India. Purpose of the role: To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. Accountabilities: - Identification, collection, extraction of data from various sources, including internal and external sources - Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis - Development and maintenance of efficient data pipelines for automated data acquisition and processing - Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in the data - Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities - Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations: To advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness. Collaborate closely with other functions/business divisions. Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. You will work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers, and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each engagement, partnering collaboratively to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage, and passion to drive life-changing impact to ZS. At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems that shape us as individuals and make us unique. Your personal interests, identities, and desire to learn are integral to your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. **What you'll do:** - Design, build, and manage data workflows and pipelines in Dataiku DSS. - Integrate data from multiple sources including AWS, databases, APIs, and flat files. - Collaborate with data engineering and business teams to translate requirements into scalable data solutions. - Implement data validation, error handling, and monitoring processes within Dataiku. - Support model deployment, scheduling, and performance optimization within the Dataiku environment. - Maintain documentation and version control for Dataiku projects and pipelines. **What you'll bring:** - 3+ years of experience in data engineering or analytics development roles. - Hands-on experience with Dataiku DSS, SQL, Python, and data wrangling. - Familiarity with AWS services, APIs, and data integration tools. - Understanding of data quality, pipeline performance optimization, and analytics workflows. **Additional Skills:** - Strong communication skills, both verbal and written, with the ability to structure thoughts logically during discussions and presentations. - Capability to simplify complex concepts into easily understandable frameworks and presentations. - Proficiency in working within a virtual global team environment, contributing to the timely delivery of multiple projects. - Travel to other offices as required to collaborate with clients and internal project teams. **Perks & Benefits:** ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options, internal mobility paths, and collaborative culture empower you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. **Travel:** Travel is a requirement at ZS for client-facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed, providing opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. **Considering applying ** At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. **To Complete Your Application:** Candidates must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com,

As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Data Analyst at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Principle Engineer - Data Science and Modeling at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be able to identify problems, generate effective solutions, and troubleshoot issues that may arise while working on complex projects. Must Display Adaptability to changing circumstances, new technology, and shifting priorities. Nice-to-have skills Qualifications Qualifications 11-12 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Sony Pictures Networks India is seeking a smart, driven, and experienced Product Analyst for their Digital Business. As the Incumbent, your primary responsibility will be enabling data-driven decision-making across the organization to ensure that data is transformed into actionable insights that support business strategies and optimize operations. You will need to possess deep technical skills to complement your analytical experience. The ideal candidate will be scrappy, independent, action-oriented, and excited about building data insights to influence product priorities. The key responsibilities of this role include: - Collaborating with stakeholders to understand their strategic goals and identifying areas where data-driven insights can drive business value. - Working with business stakeholders to understand their analytical requirements and deliver data-driven insights that support decision-making and operational improvements. - Driving efforts towards maximizing viewership on SonyLIV and ensuring profitability from advertisement business. - Creating and monitoring interactive and automated dashboards to democratize data access within the team. - Collaborating with the data engineering team to ensure reliable and accessible data management. - Effectively communicating complex analytical findings in a clear manner to facilitate data-driven discussions. As a Product Analyst, you are expected to possess certain behavioral competencies such as problem-solving ability, the vision to see the big picture, excellent prioritization skills, passion for results and excellence, as well as an inquisitive and analytical mind to bring a creative perspective to business problems. In terms of technical competencies, you should be proficient in writing complex SQL queries, data wrangling through python or R, working on basic Machine Learning algorithms, possessing strong data storytelling skills, and having experience with at least one BI tool such as Tableau, PowerBI, Looker, or Mixpanel. Joining Sony Pictures Networks offers the opportunity to work with leading entertainment channels and the promising streaming platform, Sony LIV. The organization focuses on creating an inclusive and equitable workplace that celebrates diversity with the "Bring Your Own Self Philosophy". Recognized as one of India's Best Companies to Work For in 2021 by the Great Place to Work Institute, the company offers a progressive and digitally led content powerhouse environment. The inclusive workplace has been awarded multiple accolades for gender equality, HR excellence, learning culture, and diversity & inclusion initiatives. If you are looking to be part of a dynamic team that thrives on telling stories beyond the ordinary, Sony Pictures Networks could be the ideal place for you to grow and excel in your career.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques is key to helping clients optimize their operations and achieve strategic goals. As a member of the data analysis team at PwC, you will be tasked with utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. In this role, you will be instrumental in developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and have a solid understanding of statistical analysis, machine learning, data visualization, and application programming. As a candidate with 4+ years of hands-on experience, your responsibilities will include collaborating with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies, developing and implementing machine learning models and algorithms for GenAI projects, performing data cleaning, preprocessing, and feature engineering, collaborating with data engineers for efficient data processing and integration into machine learning pipelines, validating and evaluating model performance, developing and deploying production-ready machine learning applications and solutions, utilizing object-oriented programming skills, employing Kubernetes for container orchestration and deployment, designing and building chatbots using GenAI technologies, communicating findings and insights to stakeholders through data visualizations, reports, and presentations, and staying up-to-date with the latest advancements in GenAI technologies. Requirements for this role include 3-5 years of relevant technical/technology experience with a focus on GenAI projects, strong programming skills in languages like Python, R, or Scala, proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn, experience with data preprocessing, feature engineering, and data wrangling techniques, a solid understanding of statistical analysis, hypothesis testing, and experimental design, familiarity with cloud computing platforms like AWS, Azure, or Google Cloud, knowledge of data visualization tools and techniques, strong problem-solving and analytical skills, excellent communication and collaboration abilities, and the ability to work in a fast-paced and dynamic environment. Preferred qualifications include experience with object-oriented programming languages like Java, C++, or C#, developing and deploying machine learning applications in production environments, understanding of data privacy and compliance regulations, and relevant certifications in data science or GenAI technologies. Nice-to-have skills encompass experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock, familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc., and experience in chatbot design and development. Candidates with a professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA are encouraged to apply for this position.,

As a Senior Analytics Consultant specializing in banking analytics, you will leverage your expertise in credit risk modeling, fraud detection, and marketing analytics to lead client-facing engagements. With over 5 years of experience in the banking sector, you will be responsible for designing and implementing advanced models, translating data insights into strategic recommendations, and ensuring compliance with regulatory standards. Your key responsibilities will include leading and managing analytics projects focused on credit risk, fraud analytics, or marketing analytics within the banking industry. You will collaborate with clients to define business problems, develop analytic frameworks, and deliver actionable solutions. Using your proficiency in analytical programming languages such as Python, R, or SAS, you will build and validate statistical and machine learning models to extract meaningful insights from large datasets. In addition to your technical skills, you will be expected to communicate complex analytical findings effectively through business-friendly presentations and reports. As a senior member of the team, you will also guide junior team members, contribute to knowledge sharing within the firm, and uphold a strong understanding of the banking regulatory environment, including standards like Basel II/III, CCAR, and AML. To qualify for this role, you should hold a Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline. You must have a minimum of 5 years of hands-on experience in banking analytics, strong proficiency in SQL, and a solid understanding of statistical modeling techniques and machine learning algorithms. Prior experience in a consulting or professional services environment, familiarity with cloud-based analytics platforms, and exposure to digital banking data sources are preferred qualifications. In return, you can expect high-impact projects with top banking institutions, a collaborative team culture that values intellectual curiosity, clear paths for career growth and leadership opportunities, and competitive compensation. Join us in shaping the future of banking analytics and making a significant impact in the industry.,

We are looking for a sharp, solution-oriented Lead Analytics Consultant with deep experience in CPG and a strong command of data wrangling techniques. In this role, you ll partner with clients to turn complex data into clear, actionable strategies that solve real-world business challenges. If you re passionate about storytelling with data, identifying trends, and delivering insights that move the needle, this is the role for you.

As a Product Analyst in the Digital Business team at Sony Pictures Networks India, you will play a crucial role in enabling data-driven decision-making throughout the organization. Your primary responsibility will be to transform data into actionable insights that support business strategies and optimize operations. The ideal candidate for this position will possess deep technical skills along with analytical experience. You should be scrappy, independent, action-oriented, and enthusiastic about leveraging data insights to influence product priorities. To qualify for this role, you should hold a Bachelor's or Master's degree in Engineering, Statistics, Operational Research, Computer Science, Mathematics, or equivalent training. Additionally, you should have at least 6 years of experience in a data analytics role, with prior experience in the OTT or media industry being a bonus. Your key responsibilities will include collaborating with stakeholders to understand strategic goals and leveraging data-driven insights to drive business value. You will work closely with business stakeholders to fulfill their analytical requirements and deliver insights that support decision-making and operational enhancements. Moreover, you will focus on maximizing viewership on SonyLIV and ensuring profitability from the advertisement business. You will also be responsible for creating a data and consumer-driven culture by developing interactive dashboards and ensuring effective data management in collaboration with the data engineering team. As a Product Analyst, you will need to effectively communicate complex analytical findings in a clear and understandable manner, facilitating data-driven discussions and ensuring that insights are utilized to inform business strategies. You should possess problem-solving abilities, strategic thinking, prioritization skills, and a passion for results and excellence while collaborating with cross-functional teams. In terms of technical competencies, you should be proficient in writing complex SQL queries, data wrangling through Python or R, working with basic Machine Learning algorithms, and utilizing BI tools such as Tableau, PowerBI, Looker, or Mixpanel. Your ability to comprehend business problems and communicate insights effectively will be crucial in this role. Joining Sony Pictures Networks will give you the opportunity to work with leading entertainment channels in India and contribute to the growth of the organization in the OTT space. You will be part of an inclusive and equitable workplace that celebrates diversity and values individual contributions. Sony Pictures Networks has been recognized as one of the best companies to work for, emphasizing its commitment to excellence, diversity, and inclusivity. If you are someone who thrives on telling stories beyond the ordinary and is eager to contribute to a progressive digitally led content powerhouse, then this role at Sony Pictures Networks India is the perfect fit for you.,

As a Senior Analytics Consultant in the banking sector, you will leverage your expertise in areas such as credit risk modeling, fraud detection, and marketing analytics to lead client-facing engagements. With over 5 years of experience, you will play a key role in designing and implementing advanced models, translating data insights into strategic recommendations, and ensuring compliance with regulatory standards. Your responsibilities will include leading and managing analytics projects focusing on credit risk, fraud analytics, and marketing analytics for banking clients. You will collaborate with clients to define business problems, develop analytic frameworks, build and validate statistical and machine learning models, and present complex analytical findings in a clear and business-friendly manner. Additionally, you will guide junior team members, contribute to knowledge sharing, and uphold regulatory standards in risk and fraud modeling. To excel in this role, you are required to have a Bachelor's or Master's degree in Statistics, Economics, Mathematics, Computer Science, or a related quantitative discipline. Your hands-on experience in banking analytics, proficiency in SQL and analytical programming languages such as Python, R, or SAS, strong understanding of statistical modeling techniques, and excellent communication skills will be essential. Preferred qualifications include prior consulting experience, familiarity with cloud-based analytics platforms, and exposure to regulatory model validation frameworks. Join us for high-impact projects with top banking institutions, a collaborative team culture, clear paths for career growth, and competitive compensation.,

At PwC, as a member of the data and analytics team, your primary focus will be on harnessing data to uncover insights and drive strategic decision-making for clients. Through the use of advanced analytics techniques, you will assist clients in optimizing their operations and achieving their business objectives. In this role, you will be responsible for utilizing your expertise in data manipulation, visualization, and statistical modeling to tackle complex business challenges through data analysis. PwC US - Acceleration Center is currently looking for a skilled GenAI Data Scientist to join our team at the Senior Associate level. As a GenAI Data Scientist, you will be instrumental in the development and implementation of machine learning models and algorithms for our GenAI projects. The ideal candidate should possess a strong background in data science, particularly focusing on GenAI technologies, and demonstrate proficiency in statistical analysis, machine learning, data visualization, and application programming. With a minimum of 4 years of hands-on experience, the successful candidate will have the following responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Implement Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Keep abreast of the latest advancements in GenAI technologies and propose innovative solutions to enhance data science processes. Requirements for this role include: - 3-5 years of relevant technical/technology experience, with a specific focus on GenAI projects. - Proficiency in programming languages such as Python, R, or Scala. - Strong familiarity with machine learning libraries and frameworks like TensorFlow, PyTorch, or scikit-learn. - Experience in data preprocessing, feature engineering, and data wrangling techniques. - Solid grasp of statistical analysis, hypothesis testing, and experimental design. - Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud. - Proficiency in data visualization tools and techniques. - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Capability to thrive in a fast-paced and dynamic work environment. Preferred qualifications include: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience in developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice to have skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM-backed agent frameworks like Autogen, Langchain, Semantic Kernel, etc. - Proficiency in chatbot design and development. Professional and educational background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA.,

The Data & Analytics Team is looking for a Data Engineer with a hybrid skillset in data integration and application development. In this role, you will play a crucial part in designing, engineering, governing, and enhancing our entire Data Platform. This platform serves customers, partners, and employees by providing self-service access. You will showcase your expertise in data & metadata management, data integration, data warehousing, data quality, machine learning, and core engineering principles. To be successful in this role, you should have at least 5 years of experience in system/data integration, development, or implementation of enterprise and/or cloud software. You must have strong experience with Web APIs (RESTful and SOAP) and be proficient in setting up data warehousing solutions and associated pipelines, including ETL tools (preferably Informatica Cloud). Demonstrated proficiency in Python, data wrangling, and query authoring in SQL and NoSQL environments is essential. Experience in a cloud-based computing environment, specifically GCP, is preferred. You should also excel in documenting Business Requirement, Functional & Technical documentation, writing Unit & Functional Test Cases, Test Scripts & Run books, and incident management systems like Jira, Service Now, etc. Working knowledge of Agile Software development methodology is required. As a Data Engineer, you will be responsible for leading system/data integration, development, or implementation efforts for enterprise and/or cloud software. You will design and implement data warehousing solutions and associated pipelines for internal and external data sources, including ETL processes. Performing extensive data wrangling and authoring complex queries in both SQL and NoSQL environments for structured and unstructured data will be part of your daily tasks. You will develop and integrate applications, leveraging strong proficiency in Python and Web APIs (RESTful and SOAP). Providing operational support for the data platform and applications, including incident management, will also be a key responsibility. Additionally, you will create comprehensive Business Requirement, Functional, and Technical documentation, develop Unit & Functional Test Cases, Test Scripts, and Run Books, and manage incidents effectively using systems like Jira, Service Now, etc. At GlobalLogic, we prioritize a culture of caring. We put people first, offering an inclusive culture where you can build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. We are committed to your continuous learning and development, providing various opportunities to grow personally and professionally. You'll have the chance to work on interesting and meaningful projects that make an impact. We believe in balance and flexibility, offering various career areas, roles, and work arrangements to help you achieve a perfect work-life balance. Join us in a high-trust organization where integrity is key, and trust is a cornerstone of our values to employees and clients. GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest companies, helping create innovative digital products and experiences. You'll have the opportunity to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.,

You are a strategic thinker passionate about driving solutions in Data Analytics. You have found the right team. As an Analytics Solutions Vice President in our Finance team, you will define, refine, and deliver our firm's goals. If you're a skilled data professional passionate about transforming raw data into actionable insights and eager to learn and implement new technologies, you've found the right team. Join us in the Finance Data & Insights Team, an agile product team focused on developing, producing, and transforming financial data and reporting across CCB. Your role will involve creating data visualizations and intelligence solutions for top leaders to achieve strategic goals. You'll identify opportunities to eliminate manual processes and use automation tools like Alteryx, Tableau, and ThoughtSpot to develop automated solutions. Additionally, you'll extract, analyze, and summarize data for ad hoc requests and contribute to modernizing our data environment to a cloud platform. Job responsibilities: - Lead Data & Analytics requirements gathering sessions with varying levels of leadership and complete detailed project planning using JIRA to record planned project execution steps. - Understand databases, ETL processes, and translate logic into requirements for the Technology team. - Develop and enhance Alteryx workflows by collecting data from disparate sources and summarizing it as defined in requirements gathering with stakeholders, following best practices to source data from authoritative sources. - Develop data visualization solutions using Tableau and/or ThoughtSpot to provide intuitive insights to key stakeholders. - Conduct thorough control testing of each component of the intelligence solution, providing evidence that all data and visualizations offer accurate insights and evidence in the control process. - Seek to understand stakeholder use cases to anticipate their requirements, questions, and objections. - Become a subject matter expert in these responsibilities and support team members in becoming more proficient. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS or Computer Science, Mathematics, Engineering, Statistics, or other quantitative or financial subject areas - People management experience of at least 3 years is required - Experience with business intelligence analytic and data wrangling tools such as Alteryx, SAS, or Python - Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses, Databricks, Cloud solutions - Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data - Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data - Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions - Experience with ThoughtSpot or similar tools empowering stakeholders to better understand their data - Highly motivated, self-directed, curious to learn new technologies Preferred qualifications, capabilities, and skills: - Experience with ThoughtSpot / Python major advantage - Experience with AI/ML or LLM added advantage but not a must-have. Minimum 8 years experience developing advanced data visualization and presentations preferably with Tableau - Experience with Hive, Spark SQL, Impala, or other big-data query tools. AWS, Databricks, Snowflake, or other Cloud Data Warehouse experience - Minimum of 8 years experience working with data analytics projects, preferably related to financial services domain,

Functional Knowledge of Financial Planning processes including Revenue Planning, Product cost planning, Profitability Planning, Workforce Planning, Opex Planning, Capex Planning, P&L Planning, Balance sheet, and Cash flow planning. This entails understanding cross-process and information integration across various planning processes. With a minimum of 2-3 full lifecycle experiences in SAP Planning technologies such as SAP Analytics Cloud or SAP BPC (BPC Standard or Embedded in versions 10.1, 11, 11.1, 2021), the ideal candidate should possess 6-12 months of experience in SAC Planning implementations. Proficiency in integrating SAP Analytics Cloud with S/4HANA, BW/4HANA, Native HANA, DWC (Import, and Write back) is essential. Additionally, hands-on knowledge in SAC Planning, including data modeling, dataset preparation, merging, appending, custom hierarchies, custom calculations, grouping, formatting values, data wrangling, and familiarity with core SAP Analytics cloud planning features like Predictive planning is required. As an Infoscion, a typical day involves addressing customer issues, diagnosing problem areas, designing innovative solutions, and facilitating deployment to ensure client satisfaction. Responsibilities include developing proposals, contributing to solution design, configuring the product, conducting pilots, resolving queries, demonstrating solutions, and preparing effort estimates aligned with customer budgets and organizational guidelines. Leading small projects, participating in organizational initiatives, and providing value-adding solutions to clients are key objectives. The role also requires developing value-creating strategies, staying updated on industry trends, demonstrating logical thinking, problem-solving skills, and the ability to collaborate effectively. Other essential skills include knowledge of software configuration management systems, awareness of the latest technologies, understanding of financial processes and pricing models for projects, ability to assess current processes, identify improvement areas, suggest technology solutions, and demonstrate client interfacing, project management, and team management abilities. The location of posting for this position is at Infosys Ltd., with opportunities available across various locations in India including Bangalore, Pune, Hyderabad, Chennai, Chandigarh, Mysore, Kolkata, Trivandrum, Indore, Nagpur, Mangalore, Noida, Bhubaneswar, Coimbatore, Mumbai, Jaipur, Hubli, and Vizag. While considerations are made in accordance with business requirements, efforts will be made to accommodate preferences where feasible.,

Project description We need a Senior Python and Pyspark Developer to work for a leading investment bank client. Responsibilities Develop software applications based on business requirements Maintain software applications and make enhancements according to project specifications Participate in requirement analysis, design, development, testing, and implementation activities Propose new techniques and technologies for software development. Perform unit testing and user acceptance testing to evaluate application functionality Ensure to complete the assigned development tasks within the deadlines Work in compliance with coding standards and best practices Provide assistance to Junior Developers when needed. Perform code reviews and recommend improvements. Review business requirements and recommend changes to develop reliable applications. Develop coding documentation and other technical specifications for assigned projects. Act as primary contact for development queries and concerns. Analyze and resolve development issues accurately. Skills Must have 8+ years of experience in data intensive Pyspark development. Experience as a core Python developer. Experience developing Classes, OOPS, exception handling, parallel processing . Strong knowledge of DB connectivity, data loading , transformation, calculation. Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Concurrency and error handling data pipeline batch of size [1-10 gb]. Ability to understand business requirements and translate them into technical requirements. Ability to design architecture of data pipeline for concurrent data processing. Familiar with creating/designing RESTful services and APIs. Familiar with application unit tests. Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services. Debugging application. Nice to have Knowledge of web backend technology Django, Python, PostgreSQL. Apache Airflow Atlassian Jira Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Are you our Type Monotype, named "One of the Most Innovative Companies in Design" by Fast Company, is dedicated to bringing brands to life through type and technology that consumers engage with daily. With a rich legacy spanning centuries, Monotype boasts a library featuring renowned typefaces like Helvetica, Futura, and Times New Roman, among others. Additionally, Monotype offers a pioneering service that enhances access to fonts for creative professionals, facilitating their discovery, licensing, and utilization in today's digital landscape. Collaborating with major global brands and individual creatives, Monotype provides a diverse range of solutions to streamline the design of captivating brand experiences. Monotype Solutions India serves as a strategic center of excellence for Monotype, recognized as a certified Great Place to Work for three consecutive years. The center's rapid growth encompasses various domains such as Product Development, Product Management, Experience Design, User Research, Market Intelligence, AI and Machine Learning research, Innovation, Customer Success, Enterprise Business Solutions, and Sales. Headquartered in the Boston area with a global presence across 4 continents, Monotype stands as the world's leading font company, trusted by the top brands worldwide and acknowledged as One of the Most Innovative Companies in Design by Fast Company. Monotype is a pioneering technology company at the forefront of AI innovation in fonts. We are currently seeking a motivated and curious AI/ML Engineer to join our dynamic team. As an AI/ML Engineer, you will be instrumental in designing and implementing state-of-the-art AI/ML solutions to address real-world challenges. This position is based in the Delhi NCR area. **What you will be doing:** - Designing, developing, and testing AI/ML models using supervised and unsupervised learning techniques. - Preparing and pre-processing data for model training and evaluation. - Collaborating with data scientists and engineers to define project requirements and success metrics. - Deploying and monitoring models in production environments. - Staying updated with the latest advancements in AI/ML research and development. **What we are looking for:** - Bachelor's degree in computer science, mathematics, statistics, or a related field. - Strong grasp of machine learning concepts, algorithms, and techniques. - Knowledge or understanding of deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python, R). - Familiarity with data wrangling and manipulation tools (pandas, NumPy). - Excellent communication and collaboration skills. - A keen interest in continuous learning and exploring new technologies. **Preferred Skills:** - Strong understanding of computer vision, natural language processing, and other AI-related domains. - Knowledge or understanding of generative AI models, particularly Stable Diffusion. - Published research papers or contributions to the AI/ML community are advantageous. - Knowledge or understanding of building and deploying ML pipelines. Monotype is expanding globally, and proficiency in one or more of the following languages (German, Japanese, French, Spanish) is desirable but not mandatory for this role.,

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced 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 You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management

Req ID: 71958 Department: Risk Strategy & Transformation - Chief of Staff Division: Risk Location: Bengaluru About Us At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About the Role The mission of the Risk Transformation Project is to provide cutting edge risk management services, across group, wholesale and retail risk areas to deliver a better banker and customer experience leveraging data and business rule focused solutions. As an Analyst you will optimise end-to-end customer journeys and improve the customer experience by devising innovative solutions, services, products or propositions. You will work to solve complex problems using a range of techniques and will be a core conduit between the engineers and the business. The role requires strong engagement and collaboration with internal stakeholders and external partners. To be successful in this role you will bring your strong communication skills, technical expertise and analytical/problem solving abilities to drive tangible solutions allowing the Tech Area to fulfil its mission statement. You will also have a strong background in software delivery and systems implementation. What will your day look like You have exceptional stakeholder management and relationship building skills, with the ability to influence outcomes at all levels of the business. You are able to analyse data and business/system processes to identify gaps. Draw out insights and present outcomes for data driven decision making. Source data from a variety of sources to combine, synthesise and analyse to generate insights. Address and solve complex business issues using large amounts of data. Strong data visualisation skills with ability to present data dynamically to solve key business questions. You have an intense passion and curiosity for customers, their needs and wants, putting them at the centre of everything you do. You are able to explore customer needs in a data-driven way, develop and implement innovative solutions, test the outcomes, and iterate. You are able to bridge the gap/translate business requirements into well-defined features/user stories/acceptance criteria to be consumed by engineers to build and deliver awesome outcomes for our customers. You can proactively identify and assess risks, devise appropriate mitigants & controls and comply with risk management processes and policies. You have a strong execution mindset and ability to deliver quality outputs within required timeframes. You are able to support other analysts in your squad and influence the outcomes where required. What will you bring Significant experience / expertise with banking & financial services, especially in data heavy roles Understanding of how risk plays a role in wholesale and retail lending and processes Understanding of how credit risk management activities are used within the banking environment, including an overarching understanding of the impacts that legislation and regulations have on operations Working knowledge of analytical programming languages such as SQL Proven data wrangling skills to quickly understand and validate different data sources to build effective, sustainable analytical assets Desirable to have knowledge and experience with Cloud Technologies (e.g. GCP, AWS) and big data technologies like datalake,

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,

Dear Candidate, We are looking for a skilled Data Engineer to design and maintain data pipelines, ensuring efficient data processing and storage. If you have expertise in ETL, SQL, and cloud-based data platforms, wed love to hear from you! Key Responsibilities: Design, develop, and maintain scalable data pipelines. Optimize data workflows for performance and efficiency. Work with structured and unstructured data sources. Implement data governance and security best practices. Collaborate with data scientists and analysts to support data-driven decisions. Ensure compliance with data privacy regulations (GDPR, CCPA). Required Skills & Qualifications: Proficiency in SQL, Python, or Scala for data processing. Experience with ETL tools (Informatica, Apache NiFi, AWS Glue). Hands-on experience with cloud data platforms (AWS, Azure, GCP). Knowledge of data warehousing (Snowflake, Redshift, BigQuery). Familiarity with Apache Spark, Kafka, or Hadoop for big data processing. Soft Skills: Strong problem-solving and analytical skills. Ability to work independently and in a team. Good communication skills to collaborate with stakeholders. Note: If interested, please share your updated resume and your preferred contact details. If shortlisted, our HR team will reach out to you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviours, particularly those that most impact business and marketing goals. Able to work successfully with teams, handling multiple projects and meeting client expectations. Qualifications 9-12 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects. Understanding of econometric analysis and advanced analytics solutions around survey data and of web analytics data as well. Good working knowledge and understanding of Market mix modelling/advance analytics is a must have skill. Data wrangling/story building are good to have Good knowledge in Shell Scripting, Unix/Linux, familiarity with Visualization tool and ETL tools is beneficial. Should be able to work independently, interpret data effectively, and deliver detailed reports for clients. Excellent communication skills. Familiarity with digital media concepts & tools and web analytics. Knowledge and experience with syndicated research sources/tools.

Description: The Data & Analytics Team is seeking a Data Engineer with a hybrid skillset in data integration and application development. This role is crucial for designing, engineering, governing, and improving our entire Data Platform, which serves customers, partners, and employees through self-service access. You'll demonstrate expertise in data & metadata management, data integration, data warehousing, data quality, machine learning, and core engineering principles Requirements: • 5+ years of experience with system/data integration, development, or implementation of enterprise and/or cloud software. • Strong experience with Web APIs (RESTful and SOAP). • Strong experience setting up data warehousing solutions and associated pipelines, including ETL tools (preferably Informatica Cloud). • Demonstrated proficiency with Python. • Strong experience with data wrangling and query authoring in SQL and NoSQL environments for both structured and unstructured data. • Experience in a cloud-based computing environment, specifically GCP. • Expertise in documenting Business Requirement, Functional & Technical documentation. • Expertise in writing Unit & Functional Test Cases, Test Scripts & Run books. • Expertise in incident management systems like Jira, Service Now etc. • Working knowledge of Agile Software development methodology. • Strong organizational and troubleshooting skills with attention to detail. • Strong analytical ability, judgment, and problem analysis techniques. • Excellent interpersonal skills with the ability to work effectively in a cross-functional team. Job Responsibilities: • Lead system/data integration, development, or implementation efforts for enterprise and/or cloud software. • Design and implement data warehousing solutions and associated pipelines for internal and external data sources, including ETL processes. • Perform extensive data wrangling and author complex queries in both SQL and NoSQL environments for structured and unstructured data. • Develop and integrate applications, leveraging strong proficiency in Python and Web APIs (RESTful and SOAP). • Provide operational support for the data platform and applications, including incident management. • Create comprehensive Business Requirement, Functional, and Technical documentation. • Develop Unit & Functional Test Cases, Test Scripts, and Run Books to ensure solution quality. • Manage incidents effectively using systems like Jira, Service Now, etc. • Prepare change management packages and implementation plans for migrations across different environments. • Actively participate in Enterprise Risk Management Processes. • Work within an Agile Software Development methodology, contributing to team success. • Collaborate effectively within cross-functional teams. What We Offer: Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

Skill required: Delivery - Data Wrangling 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 Design, develop, and adapt data wrangling tools & techniques to explore, transform, map & discover data patterns, and garner business insights. It is the process of transforming and mapping data from one raw data form into another format. What are we looking for Marketing Data Wrangler 4 + years designing and implementing large scale data loading, manipulation, processing solutions Experience working in CPG/Retail/Beauty industries High proficiency in data integration package High proficiency in Snowflake/GCP Experience in streaming integration development Cloud development experience (e.g., AWS, Azure) Strong proficiency in SQL Able to design and implement relational data models Good understanding of DevOps and Agile way of working Eagerness to contribute to a team-oriented environment Ability to work creatively and analytically in a problem-solving environment Excellent leadership, communication (written and oral) and interpersonal skills Roles and Responsibilities: Work in interdisciplinary teams that combine technical, business, visualization, and data science competencies Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, and data marts implementation Integrate datasets and dataflows using a variety of best-in-class software as well as profile and analyze large and complex datasets from disparate sources Develop scheduling scripts or configure load schedules Design and run unit tests Perform bug diagnosis and fix Migrate code between development and test environments Participate in support of the development environment Self-started who can adapt to change in technology independently Qualification Any Graduation