Top Data Science Jobs in India

The Director of AI/ML Engineering will lead teams in leveraging health-related data to improve healthcare systems and drive innovative solutions.

Lead product strategy for the ServiceNow Platform Analytics team, focusing on AI integration and customer engagement to drive product roadmap and exceptional user experiences.

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.

Oversee the product strategy and roadmap for AI-driven automation in back-office revenue cycle management, ensuring alignment with business cases and regulatory standards while leading cross-functional teams toward high-impact delivery and compliance.

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.

Manage accounting and budgeting functions, ensure timely completion of audits, coordinate tax assessments, and implement process improvements in collaboration with global stakeholders.

Own long-term product strategy and roadmap for Circle's digital assets and capital markets platform. Lead cross-functional initiatives, manage regulatory and market risks, define forecasting and liquidity models, influence executives, and mentor product managers to scale global stablecoin and capital access infrastructure.

The Staff Data Scientist will develop and implement machine learning and AI solutions, conduct business analysis, collaborate with teams, and communicate project status.

Lead a small machine learning team focused on NLP, Deep Learning, and production deployment. Utilize GenAI toolkits and manage AI workflows.

Lead initiatives for data governance, quality, and metadata management by conducting analysis, mentoring staff, and consulting clients on data quality standards.

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

Support investment accounting by reviewing and setting up securities, processing daily transactions, resolving automation exceptions, responding to data inquiries, and improving systems and automation to increase straight-through processing and data integrity. Participate in efficiency and capacity-building initiatives, record team metrics, and collaborate with stakeholders to ensure accurate accounting and reporting.

Lead development and implementation of AI-driven audit solutions using data analytics, enhancing risk management and continuous auditing programs.

Manage data science initiatives, develop AI/ML solutions, optimize machine learning models, and collaborate with teams to implement analytics in healthcare.

The role requires analyzing data using various tools, requiring 3+ years of experience and strong communication skills.

As a Sr. Analyst in Data Science and Analytics, you'll utilize tools like SQL and R to drive analytics and insights. You will need to manage projects independently, possess strong communication skills, and be open to travel as required.

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.

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.

The Balance Sheet Mgmt Lead Analyst drives advanced analytics, AI solutions, and product development for balance sheet management, collaborating with Finance and Treasury teams, and translating complex financial data into actionable insights.

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.