Top Data Science Jobs in India

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

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

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

Responsible for applying data science principles to solve complex problems, contributing to research design and the deployment of solutions.

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.

As a DevOps Engineer, you will build and set up development tools and infrastructure, focusing on CI/CD, cloud technologies, and security. You will monitor CI/CD pipelines and ensure system security while collaborating with teams to enhance development processes.

As a DevOps Engineer, you'll set up development tools, build CI/CD pipelines, ensure security, and optimize performance, focusing on collaboration and solutions.

Develop applications utilizing AI tools and Cloud services, apply GenAI models, and optimize algorithms for performance and scalability.

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

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 Senior Management Consultant drives the execution of the business-analytics roadmap, leading client workshops, defining business problems, and managing stakeholder relationships in the Food & Beverage retail ecosystem.

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.

Lead digital transformation of ERP finance processes, support business outcomes, drive Oracle simplification, and ensure compliance with IT policies.

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.