Top Data Science Jobs in India

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 will develop product vision and strategy, collaborate with cross-functional teams on AI/ML platform products, and maintain agile processes to enhance business and customer outcomes.

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.

This role develops credit risk management solutions and business intelligence analytics by engaging with clients and performing statistical analysis. It requires both strong programming skills and project management abilities.

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

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

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

The Senior Analyst will leverage data science skills to develop predictive models, provide analytical support, and deliver insights for new products and services, enhancing client solutions.

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

Data Science Managers at ZS lead teams to design analytic techniques on complex datasets, drive client impact, and develop data science strategies. They provide thought leadership, mentor team members, and manage multiple projects simultaneously.

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

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

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

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

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 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.

Lead a team of machine learning engineers and data scientists to develop and deploy AI solutions in healthcare, optimizing workflows and model performance.

Lead the development of AI/ML and network automation solutions, driving product strategy, collaborating with teams, and enhancing operational efficiency.

The Senior Analyst will drive analytics initiatives by developing predictive models, delivering insights, and collaborating with cross-functional teams to enhance TransUnion's offerings.

The Principal Data Scientist leads AI/ML strategy, ensuring high standards in modeling and experimentation, and fosters cross-functional collaboration for enterprise decision-making.