Top Data Science Jobs in India

Lead and inspire a team in AI/ML product discovery, transforming product data into insights, driving data-informed strategy, and innovating with structured data solutions.

Lead and manage data and visualization engineers to develop and maintain data pipelines and automate ETL processes, collaborating closely with business partners and data science teams.

Develop machine learning models, analyze data, collaborate with teams, and stay updated on AI/ML trends to drive business insights.

The Senior Data Scientist will develop machine learning models, collaborate with stakeholders, analyze data sets, and stay updated on AI advancements.

Analyze data for demand forecasting, apply machine learning techniques, implement optimization algorithms, and advise on supply chain analytics best practices.

The Director of Data Science will lead the delivery of data science and analytics solutions, mentor teams, and collaborate with stakeholders to drive efficiency and revenue outcomes.

Lead a team of data scientists and analysts to develop and implement advanced analytics solutions, driving data-driven decision-making across the organization.

Lead the Data Science team for Lending at Grab, overseeing credit risk modeling, guiding ML strategies, and partnering with stakeholders for data-driven insights and model governance.

Lead the data science roadmap, developing machine learning and AI solutions. Manage a team and collaborate across functions to enhance customer experience and business decisions.

The role involves developing advanced analytical models, utilizing machine learning and Generative AI, collaborating across teams, and mentoring juniors to derive actionable insights from complex datasets.

As a Product Engineer, ensure the quality of geospatial AI tools by developing test plans, documenting processes, and collaborating with data scientists.

The role involves developing analytical models using machine learning and Generative AI, collaborating on data-driven solutions, and mentoring junior members.

Lead the development of AI agents and generative systems, architecting workflows and enhancing product features through data science methods.

Lead a team of Data Scientists focused on credit decisioning, collaborate with leadership teams, and implement operational frameworks to scale.

Lead the creation and optimization of AI models for medical imaging applications, collaborating with cross-functional teams while driving innovation in healthcare.

Lead the design and development of generative AI solutions in healthcare. Collaborate with teams to apply AI to complex problems and mentor junior scientists.

Lead and manage customer analysis, mentor analysts, apply data science methods, manage projects, and communicate insights to clients.

Join a talent network for upcoming opportunities in product management and engineering at Resilinc, focusing on innovative supply chain solutions.

Lead data science initiatives by defining roadmaps, managing teams, and engaging clients, while driving innovative AI and analytics solutions.

The role involves leading data science initiatives, optimizing processes, developing AI frameworks, and ensuring ethical compliance while engaging with users.

The role involves designing AI agents, optimizing ML/DL models, collaborating on AI experiences, and requires deep expertise in AI frameworks and cloud deployments.

The Senior Data Scientist will create data-driven solutions, develop algorithms, and provide insights to improve customer understanding and market performance.

Lead the development of advanced database systems for AI-driven grid software, focusing on data fabric and semantic modeling. Drive system architecture, performance, and innovation in AI technologies such as machine learning and text mining while guiding technical teams and aligning with product strategies.

The role involves applying algorithms and optimization techniques to improve client operations, project management, and quality assurance in advanced data analytics.

The Manager Data Scientist will lead the development of pricing optimization models, analyze pricing elasticity, implement machine learning models on AWS SageMaker, and communicate findings effectively.