Top Data Science Jobs in India

As a Senior Product Manager, you'll develop and execute product strategies for AI Context Services, collaborating with teams to enhance platform capabilities in enterprise AI applications.

Lead the applied machine learning team to develop, operationalize, and optimize ML solutions, ensuring they drive business outcomes and meet compliance requirements.

The Product Analyst ensures accuracy and usability of templates in the Discover platform, validating data logic and collaborating with teams to meet product requirements.

The Data Scientist applies data science principles to solve problems using diverse data sources, demonstrating project management skills and exploring innovative solutions.

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.

This role involves managing a team while actively engaging in data science tasks such as machine learning, text extraction, and pipeline integration.

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

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

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

Analyze and assess existing Blue Yonder solutions, implement migrations, manage technical analysis, develop workflows, provide training, and identify revenue opportunities in supply chain planning.

The Senior Manager, Technology Leader is accountable for technology initiatives in Innovative Medicine, ensuring compliance and modernization of business capabilities while driving technology evolution and partnerships.

The Senior Analyst develops data science solutions, leads sales meetings, sets team objectives, builds client relationships, and communicates insights.

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

Manage AI/ML projects including model development and deployment. Collaborate with teams, optimize models, and communicate with stakeholders to enhance health solutions.

The role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

Lead a team to innovate and operationalize data-driven and AI capabilities for Global Product Supply, strategy formulation, product development, and stakeholder alignment.

The role focuses on developing strategies for insights and analysis, managing analytics engagements, and guiding team development in data science.

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.

Lead and manage customer analysis, mentor analysts, conduct data preparation, apply data science methods, and communicate findings to clients.

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

Lead and manage customer analysis, mentor a team of analysts, and apply data science methods to provide insights to clients.

Develop strategies for Insights and Analysis for clients, manage analytics engagements, communicate insights, and guide team development.

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.

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 manage customer analysis deep dives, execute strategies from leadership, communicate with clients, and mentor a team of analysts.