Top Data Science Jobs in India

As an Associate Client Solutions Partner, you will manage end-to-end sales processes, engage in pre-sales activities, and drive business development in the Data Science and AI domain. Key responsibilities include preparing technical presentations, managing customer relationships, collaborating with technical teams, and proposing solutions to complex business problems using data analytics and AI applications.

The Analytics Engineer will develop and support data delivery pipelines, enhance observability in the data environment, and automate processes across data platforms. The role requires a multidisciplinary approach to data operations and effective tool selection for optimal outcomes.

The Senior Statistical Programmer is responsible for providing SAS programming expertise for data transformation, developing specifications for SDTM and ADaM datasets, creating outputs for clinical trials, and ensuring compliance with standards. The role includes programming, mentoring, and collaborating with project teams to meet deadlines and maintain quality.

The Senior Data Scientist at Motive will develop and implement underwriting and fraud models for the Motive Card. This role involves deriving insights from data sets, applying machine learning techniques, and collaborating with Risk, Product, and Engineering teams to enhance fraud detection and risk assessment.

The Senior Manager of Data Science will develop and enhance data products and machine learning models for risk management, fraud prevention, and collections. Responsibilities include creating monitoring tools, building deployment platforms, and leading collaborative projects to drive business value using alternative data to optimize customer experience and marketing strategies.

The Senior Data Engineer will design and maintain scalable data pipelines, build API integrations, collaborate with analytics teams, and improve data models for business intelligence tools to enhance data-driven decision making.

As a Principal Analytics Engineer at Warner Bros. Discovery, you will champion the overall data and analytics strategy for various streaming and non-streaming data domains. Responsibilities include creating data strategy, architecture, and roadmap, architecting data products, assisting in executive decision making, promoting data-driven innovation, hiring and mentoring engineers, and overseeing platform support and budgetary concerns.

The Senior Data Science Engineer at dunnhumby will develop and maintain engineering tools to enhance data science workflows. Responsibilities include optimizing data pipelines, collaborating with infrastructure teams, and leveraging cloud services, Kubernetes, and modern web frameworks to build scalable applications.

Senior Associate, Principal Statistical Data Scientist responsible for statistical programming deliverables in the pharmaceutical industry. Mentor junior team members, handle complex programming tasks, adhere to high-quality standards, and collaborate with global stakeholders. Bachelor's or Master's degree in relevant field with 5-6 years of experience required.

The Senior Expert Data Science will manage complex business problems through data analysis, utilizing machine learning and statistical methods. Responsibilities include overseeing data lifecycle management, collaborating across teams for insights, budget management, and possibly leading a small team. The role involves continuous learning of new tools and technologies to enhance data practices and provide actionable business intelligence.

The Senior Data Science Manager at Visa will lead AI and ML driven data science projects, collaborating with clients to solve strategic problems, design analytical solutions, and guide project execution, ultimately enhancing business performance in the payment industry.

As a Principal Analytics Engineer at Warner Bros. Discovery, you will lead data and analytics strategy for various streaming and non-streaming data domains. Responsibilities include working with stakeholders to create data strategy, architect data products, prepare analysis for decision-making, promote data-driven innovation, mentor engineers, and oversee platform support and budget.

As a Senior Manager of Data Science, you will lead a team of data scientists, manage data science projects, utilize Python for data analysis, and apply machine learning techniques. You will collaborate with cross-functional teams and present insights to stakeholders, while staying updated on industry trends.

As an Associate Data Scientist, you will analyze complex datasets, develop predictive models, collaborate with cross-functional teams, and generate data visualizations to support business decision-making. Your responsibilities will include data cleaning, testing hypotheses, and applying new data science techniques.

The Manager of Data Science will provide analytics support, oversee multiple projects centered on marketing analytics, and influence strategic decision-making using data analysis techniques. Responsibilities involve delivering high-quality analytics solutions, leading internal customer relations, and fostering knowledge sharing initiatives within the organization.

The Senior Analyst at Novartis provides analytical support to internal customers to enable data-driven decision-making. Key duties include delivering complex analytical reports, managing project expectations, utilizing predictive analytics, and enhancing marketing strategies through data insights. The role also involves training support and improving process documentation.

The Senior Software Engineer will act as the Finite Scheduling modeler for the Emerson RTMS system, collaborating with IT and business stakeholders to drive optimal solutions in planning processes while ensuring system support meets service level agreements.