Top Data Science Jobs in India

This program is designed for entry-level talent to develop technical skills through rotations in various areas including project management and data analytics. Participants will engage in training and work on cross-functional teams under expert guidance.

Lead and manage customer analysis deep dives, execute strategies from senior leadership, manage client communication, and mentor analysts.

The Sr. Data Scientist applies data science principles to solve complex problems, contributes to research, and refines data science solutions based on extensive experience in the field.

The Senior Data Scientist applies data science principles and methods to design and execute research, providing solutions to complex problems and refining data science practices.

The Sr. Data Scientist applies data science principles to solve complex problems, contributing to the design and deployment of data science solutions and leading projects with significant business impact.

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

Lead Analyst responsible for managing customer analysis, mentoring a team, applying data science methods, and delivering insights to clients.

The role involves providing leadership in data science projects in order to drive innovation and deliver value through data-driven insights.

Generate leads, build client relationships, negotiate contracts, and achieve sales targets in the Indian private bus transportation sector.

The role offers veterans a one-week unpaid placement to learn about AI and data science in a leading UK tech company.

The Lead Analyst leads customer analysis, manages a team of analysts, applies data science methods, and communicates insights to clients.

The Senior Analyst delivers data science solutions to clients, communicates insights, and leads team development to exceed business performance targets.

The role involves defining product strategy, driving engagement, tracking KPIs, leading scrum teams, and integrating AI into healthcare solutions.

Lead and coach colleagues in advanced analytics and data quality management, delivering strategic solutions that address stakeholder needs while fostering strong relationships and using effective communication.

The Senior Data Scientist applies data science principles to solve complex problems, contributes to solution design, and explores innovative approaches in research.

The Product Manager will oversee a product area in healthcare, focusing on integrating AI features, managing backlogs, and collaborating with teams to improve clinical workflows.

The Functional Architect leads solution design for life sciences clients, translating business needs into structured artifacts while ensuring alignment with technical implementation and driving Agile practices.

The Senior Product Manager & AI Foundry Site Leader will develop AI products, coordinate cross-business efforts, lead the Bangalore team, and ensure alignment with strategic objectives.

This role involves overseeing multi-program delivery in Analytics, Data Science, and AI, managing teams, fostering client relations, and ensuring governance and operational excellence.

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

Lead the launch and scale-up of PayJoy's Phone Finance business in India, ensuring successful execution and coordination between global product teams and the India market.

The Sr. Data Science Engineer will leverage advanced analytics and machine learning techniques, perform data extraction and cleansing, and visualize data findings for effective communication.

Manage full-cycle recruitment for technical roles, partner with hiring managers, and develop sourcing strategies to attract top talent in AI and data-centric fields.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

The role involves developing advanced algorithms, applying statistical techniques, and collaborating with clients to analyze data trends and emerging technologies.