Top Data Science Jobs in India

The Director of Actuarial Services will lead financial engineering for Value-Based Care contracts, manage a team of actuaries, and provide strategic advice to executive leadership.

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

Lead onboarding and activation strategies, enhance user experiences, drive conversion rates, run data-driven experiments, and mentor PM teams.

The Senior Manager, Advanced Analytics Translator leads analytics and performance initiatives, collaborates across functions, and develops analytic strategies to drive business value through data insights.

Lead the strategy and execution of advanced analytics products, fostering AI/ML innovation, guiding technical teams, and ensuring enterprise-wide adoption while managing multiple product teams.

The role involves developing data science solutions to meet client objectives, leading presentations, training the team, and building client relationships.

Lead applied data science and ML engineering in financial services, focusing on model lifecycle and ensuring production-grade performance under regulatory scrutiny.

The Senior Product Manager at SolarWinds will drive product strategy for SLOs, manage event correlation, anomaly detection, and enhance observability for customer systems.

Develop scalable ML models for ad content understanding, improve ad serving systems, and run A/B experiments in a fast-paced environment.

The Principal Gen AI Product Manager will lead the AI product strategy for Experian's EMAP region, focusing on enhancing products with Generative AI capabilities, driving adoption, and ensuring compliance across markets.

Lead the strategy and execution of Generative AI products across EMAP, driving innovation, product adoption, and aligning with customer needs and regulatory standards.

The Senior Data Analyst will analyze large datasets, build visualizations, collaborate with teams, and support data-driven decision-making using SQL, Python, and AI.

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

As a Product Manager, you will oversee the Digital Technology team's product backlog, validate requirements, develop product strategies, and collaborate with stakeholders for enhanced customer experience and operational excellence in aerospace.

Deliver analysis supporting client objectives through data science solutions; lead meetings, build relationships, and communicate insights for growth.

The Manager is responsible for developing strategies for Insights and Analysis, managing the team, and applying data science methods for client recommendations.

The Manager is responsible for developing strategies, managing analytics engagements, providing insights to clients, and leading the team.

The Account Manager in Data Science will develop data-driven solutions for clients, lead sales interactions, and maintain client relationships to ensure performance targets are met.

The Technical Architect will lead service delivery for product implementation, guiding a technical team and ensuring project success with deep knowledge of the Blue Yonder platform and related technologies.

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.

The Senior Data Analyst role involves transforming complex data into insights, collaborating with teams, and utilizing SQL and Python for data analysis and visualization.

The Senior Product Manager will drive product strategy and development, collaborating with cross-functional teams to enhance customer experience, focusing on AI and SaaS solutions.

The role involves gathering business requirements, developing AI solutions, monitoring project progress, mentoring team members, and conducting market research in AI technologies.

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 role involves leading data science model development, analyzing credit risk trends, mentoring junior scientists, and collaborating on strategies for Buy Now Pay Later products.