Top Data Science Jobs in India

The Senior Product Manager II oversees the product lifecycle, ensuring customer needs are met, managing cross-functional teams, and collaborating with marketing to deliver successful products.

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

Lead product vision, roadmap, and business case for AI use cases in MR Service. Discover and validate AI opportunities, write epics/user stories, manage backlog, define KPIs, partner with data scientists and engineers, ensure regulatory compliance and trustworthiness in healthcare, and drive adoption and continuous improvement.

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

Teach and facilitate foundational Full-Stack Development courses, create curriculum and content, run workshops in Python, Data Science and IoT, mentor students for internships and placements, perform assessments and academic administration in coordination with partner university and ImaginXP leadership.

Lead development of quantitative models for independent price verification, revenue analysis, and regulatory capital. Maintain, test, document, and quality-control models. Collaborate with business and engineering partners, apply mathematical and numerical methods, mentor junior staff, and implement scalable, production-ready solutions using object-oriented programming and data science techniques.

Lead execution of business-analytics roadmaps for financial transformation, running client workshops, defining business problems, proposing data-driven solutions, managing stakeholder relationships, contributing hands-on to analytics delivery, and mentoring teams to build repeatable consulting capabilities.

Manage and grow enterprise airline accounts using Volantio's SaaS platform. Own implementation, launch, optimization, support, renewals, and expansion. Act as product and technical expert, coordinate with Product and Engineering, drive retention and revenue metrics, run regular customer cadences (weekly support, QBRs, onsite visits), and identify optimization opportunities to deliver quantified customer value.

Senior Executive to lead client relationships, shape EXL's data and analytics strategy, drive generative AI adoption, oversee delivery and growth across industries, and represent the firm with C-suite clients.

Senior leadership role accountable for revenue, margin, client satisfaction, SLA performance and operational efficiency. Own people management, L&D, compliance, digital transformation and generative AI implementation to drive business excellence and client outcomes.

Design and implement enterprise ML/AI and generative models (GANs, VAEs) on Azure/AWS, build RAG solutions for confidential data, conduct R&D, collaborate with clients and cross-functional teams, perform model training/evaluation on large datasets, participate in code reviews and documentation, and share knowledge. Healthcare/life-sciences experience is preferred.

Lead Engineering, ML/Data Science, and Analytics teams to build scalable production AI/ML systems and data platforms. Own technical direction, architecture, MLOps, real-time data pipelines, and align engineering with product and business outcomes while hiring and mentoring senior talent.

Lead end-to-end strategic supply chain projects and cross-functional teams to design and implement global supply chain architectures. Apply advanced analytics and financial modeling to identify improvements, consult executives on risk and growth, and develop frameworks, tools, and long-term supply chain strategies from planning through execution.

Lead product strategy and roadmap for SIXT's digital rental booking across mobile and web. Drive feature development from ideation to post-release analysis, optimise conversion funnels, run A/B tests, and integrate Generative AI (LLMs) for personalization. Collaborate with engineering, UX, data science, and business stakeholders and communicate KPIs to leadership.

Serve as a client-facing consultant overseeing incubation projects from kickoff to delivery. Manage stakeholders and resources, perform and translate advanced marketing analytics, craft actionable recommendations and presentations, support proposals, and feed product roadmap improvements. Combine marketing science judgment, consultative storytelling, and project management to deliver insights for global brands.

Build, test, and deploy scalable backend components (primarily Django/Python). Implement algorithms and subsystems for lending and user communications. Solve complex engineering problems with simple designs. Collaborate cross-functionally and perform analytics using SQL to inform product and marketing decisions.

Assess and test the bank's internal control framework across products and processes, investigate control weaknesses, produce reports and recommendations, lead/control assurance activities, engage stakeholders, and drive remediation and continuous improvement aligned to governance and regulatory requirements.

The role offers veterans a one-week unpaid placement to learn about AI and data science in a leading UK tech company.

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.

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 role involves providing leadership in data science projects in order to drive innovation and deliver value through data-driven insights.

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.

Lead the application of optimization techniques on large datasets, collaborate with engineering to deploy solutions, and manage project teams while contributing to data science capabilities and thought leadership.

Lead cross-functional delivery of large-scale technical programs, define and implement PMO and SDLC processes, track portfolios and KPIs, manage stakeholders, and drive AI/ML initiatives across model development, deployment, monitoring, and governance. Collaborate with Product, Engineering, and Data Science to ensure data readiness, model performance, MLOps best practices, and compliance while improving delivery efficiency and training project teams.

Lead pre-sales engagements for global accounts: present Snowflake to executives, build demos and POCs, design architectures, run trainings/workshops, enable customers and champions, and collaborate with Sales, Product, Engineering, and Marketing to drive adoption and implementation.