Top Data Science Jobs in India

Lead data science projects developing, deploying, and managing LLM and GenAI solutions for compliance and risk management. Conduct research, optimize model training and evaluation frameworks, analyze model effectiveness, and collaborate with technology, compliance, and business stakeholders. Communicate technical findings to leadership and support innovation across the team.

Build SASTech’s external engineering ecosystem by mapping Indian deep-tech companies, government technology missions, and research institutions. Develop relationships with technical leaders, source meaningful engineering problems, and structure them into capstones, research collaborations, fellowships, internships, and employment pathways. Establish government and research-lab partnerships, assess ecosystem quality, and track outcomes including prototypes, collaborations, solved industry problems, and student placements.

Lead multi-year strategy and high-impact Windows Fundamentals initiatives across products, teams, and planning horizons. Prioritize platform investments, establish product metrics and decision frameworks, analyze telemetry and customer feedback, and align engineering, design, research, data science, product, and business stakeholders. Drive execution, manage dependencies and risks, influence senior leaders, improve product health, and mentor the product management community as a senior individual contributor.

Lead the architecture, design, and hands-on development of scalable full-stack cloud-native applications using .NET Core, C#, React.js, Azure, REST APIs, microservices, and distributed systems. Establish technical standards, review code, optimize performance and security, and mentor engineers. The role also supports AI/ML integration, Digital Twin architectures, data pipelines, model deployment, MLOps, stakeholder collaboration, delivery planning, and technical risk management.

Leads regional enterprise, government, and academic sales growth for Rubiscape’s platform and AI academy solutions. Identifies and closes institutional opportunities, expands geographic market share, manages system integrators, value-added resellers, and alliance partners including Microsoft, AWS, and NVIDIA, and accelerates enterprise sales through discovery workshops emphasizing speed-to-value and data sovereignty.

Supports marketing, alliance, and business development leaders by researching AI and edtech markets, GCC trends, PSU modernization, partner networks, and GeM procurement frameworks. Develops case studies, sales collateral, and product marketing content for enterprise buyers across industry verticals.

Builds corporate hiring partnerships with technology companies, pitches talent acquisition proposals, and organizes recruitment drives. Manages end-to-end student placement processes, tracks placement KPIs, and collaborates with academic and operations teams to improve interview readiness. Provides guidance on resumes, LinkedIn profiles, mock interviews, and placement etiquette while monitoring technology-sector hiring trends and in-demand skills.

Lead the product management for data & analytics solutions, coordinating between business stakeholders and IT to deliver scalable, high-value solutions and ensuring ongoing enhancement and user adoption.

This role involves overseeing the product vision for IT & Cyber Risk, driving AI integration, collaborating on product delivery, and engaging with stakeholders to align product strategy with corporate goals.

Own Accelerate's measurement, optimization, and data intelligence: define attribution frameworks, build the optimization engine, govern the data stack, shape AI-first measurement experiences, evaluate measurement partnerships, and lead cross-functional execution as a senior product leader.

Lead sales strategy and growth for data products, retail lending platforms, and credit and risk scoring solutions. Build enterprise client relationships, manage sales pipelines, forecast performance, analyze markets, and collaborate with product, presales, implementation, marketing, and customer service teams. Design data-driven technical solutions, achieve sales targets, and lead high-performing sales teams serving fintechs, banks, financial institutions, marketplaces, and consumer-facing companies.

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 design, prototyping, and production deployment of LLM- and GenAI-based solutions for compliance and risk. Build agentic AI, RAG/GraphRAG, MCP integrations, knowledge graphs, Python services, and partner across Compliance, Technology, and Product to operationalize AI with governance and best practices.

Drive enterprise sales growth across India by generating new business and expanding strategic accounts. Sell complex HR, L&D, assessment, and analytics solutions to C-suite buyers, advise on workforce transformation, collaborate cross-functionally, forecast using data, and represent the company at industry events. Manage long, multi-stakeholder deals and travel up to 40%.

Manage full-cycle recruitment for technical roles, partner with hiring managers, and develop sourcing strategies to attract top talent in AI and data-centric fields.

Lead data transfer and integration processes, implement data quality frameworks, and collaborate with teams to enhance data operations. Monitor and analyze data activities for improvement.

Evaluate AI-generated technical content, craft and answer advanced ML/AI prompts, assess model responses for accuracy, relevance, and clarity, identify errors or hallucinations, and provide feedback to improve AI systems.

The VP, SEO will architect and scale SEO practices, drive organic search innovation, enhance tools, and lead strategic growth for Tier 1 clients, focusing on AI and GEO.

The Data Scientist applies data science principles to solve problems through data analysis and project management, working under limited supervision.

The Analyst-Data Science role involves developing predictive models, analyzing data for insights, and driving profitable decision-making in risk and fraud management at American Express.

Own strategy and execution for AI-powered Microsoft 365 administrator experiences that can reason, plan, and act safely. Translate administrator needs into agentic product requirements, define measurable success, coordinate across Exchange, SharePoint, Teams, Copilot, and other teams, and partner with engineering, data science, compliance, and responsible AI stakeholders. Drive telemetry, evaluation, adoption, prioritization, and delivery of trustworthy, auditable cloud-scale experiences.

Leads Nielsen’s next-generation measurement product ecosystem from 0-to-1 incubation through commercial scale. Owns product strategy, customer discovery, market validation, roadmap prioritization, cross-functional execution, pricing, packaging, and ecosystem partnerships across streaming, advertising, commerce, and social media measurement. Partners with engineering, data science, UX, commercial teams, agencies, brands, publishers, and ad-tech platforms to develop privacy-first measurement solutions and drive revenue growth.

Own the short- and long-term vision, strategy, roadmap, and end-to-end delivery of Swiggy’s driver assignment platform. Lead development of scalable assignment products across 600+ cities to optimize delivery speed, cost, and customer experience. Partner with business, operations, product, supply, analytics, data science, and engineering teams. Define problems, guide experimentation and data analysis, manage cross-functional stakeholders, and deliver high-impact platform features.

Drive inbound and outbound sales for technology training and certification programs. Counsel prospective learners, understand career goals, recommend suitable courses, manage lead qualification through closing, conduct follow-ups across calls, WhatsApp, and email, maintain CRM records, build learner relationships, and achieve monthly enrollment and revenue targets. The role requires EdTech and IT course-selling experience, strong communication and negotiation skills, and availability for a US shift.

Own strategy, roadmap, and delivery for Nielsen’s core streaming products. Lead market analysis, backlog prioritization, prototype development, requirements, and cross-functional delivery with Engineering and Data Science. Partner with Sales, Client Success, and Marketing on go-to-market activities, while engaging clients and industry stakeholders. Define product KPIs, ensure measurement-data accuracy, improve development velocity, and provide expertise in video content measurement.