Top Data Science Jobs in India

The role leads a team to provide healthcare-focused insights through analytics and data science, requiring strong people management, technical oversight, and a healthcare domain understanding.

As an Industry 4.0 Analyst, you will work with Data Scientists and Engineers to implement AI-based solutions for cost reduction and operational impact across multiple business functions.

The Senior Engineer, CAD will innovate memory and storage solutions, focusing on AI systems, data science, and advanced technologies in semiconductor domains.

The role oversees global drug development consulting, leading client engagements and teams while promoting scalable practices and business growth in the life sciences sector.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead and manage a team of Machine Learning Engineers and Data Scientists to develop ML solutions that enhance user engagement and support business objectives in digital entertainment.

The Manager of Product Management for AI/ML Model Governance is responsible for defining product vision, collaborating with teams, managing backlogs, and ensuring customer-centric product development.

Lead the application of optimization techniques on large datasets, collaborate with engineering to deploy solutions, and manage project teams while contributing to data science capabilities and thought leadership.

Lead a team of Data Scientists and ML Engineers to develop AI-driven healthcare applications. Provide technical guidance, mentorship, and ensure high-quality delivery of scalable solutions.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

Seeking an IT Recruiter with 2 to 4 years of experience for end-to-end recruitment, including sourcing, screening, and onboarding for technology roles.

The Director AI/DS Platforms will lead the development and operationalization of a scalable AI platform for MedTech, ensuring compliance and delivering high-impact AI solutions. Responsibilities include building the platform vision, aligning with strategic priorities, managing costs, and fostering a culture of innovation across teams.

The Head of Generative AI and Innovation will drive the strategy and development of generative AI solutions, manage teams, implement solutions, and ensure ethical governance.

The Financial Services Leader will oversee the FS Consulting Practice, managing high-level strategy, client relationships, and operational delivery across several accounts while fostering innovation and cultural transformation.

The Engagement Manager will lead client workshops, drive analytics roadmaps, and liaise with clients to provide solutions in life sciences consulting.

The Engagement Manager will drive business-analytics execution, lead client workshops, develop strategic recommendations, manage client relations at a senior level, and contribute to organization building through mentoring and training.

The Senior Product Manager will lead the analytics product function, manage workflows, conduct user research, and drive adoption of AI-enabled tools within CVS Health's analytics organization.

The role requires applying data science principles to solve complex problems, contributing to the development and deployment of data science solutions, and provides insight based on data analysis.

The Proposal Leader drives strategy and governance for complex proposals, aligning solutions with client outcomes and improving win rates in ServiceNow consulting deals.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As a Product Manager for AI Products, you will oversee the execution of AI features, collaborating with engineering teams to translate product direction into actionable tasks while maintaining stakeholder alignment and tracking project metrics.

The Senior Product Manager will lead the development of AI-driven insights for contact centers, manage product strategy, and collaborate with cross-functional teams.

The Data Lead Consumer is responsible for defining and executing the data strategy, ensuring high-quality data delivery, governance, and alignment with business outcomes across the Consumer and Customer domains.

As an Associate Product Manager, you will manage product development cycles, collaborate with engineering and operational teams, evaluate partnerships, and prioritize projects to improve customer adoption.