Top Data Science Jobs in India

Leads data science and AI consulting engagements for telecommunications clients. Responsibilities include analyzing large datasets, developing predictive and statistical models, gathering requirements, designing improved business processes, identifying AI solutions, creating data-driven recommendations, and presenting insights to senior stakeholders. The role requires client-facing consulting, stakeholder management, solution delivery, and the ability to guide junior team members. Travel or relocation to Japan may be required.

Develop AI and GenAI models for high-tech industry challenges including marketing analytics, predictive maintenance, production optimization, supply chain, sales analytics, and connected products. Responsibilities include designing machine learning solutions in Python, applying NLP and computer vision, integrating PLM/ERP/CRM data, deploying models to production, leveraging cloud platforms, and providing technical guidance to cross-functional teams.

Leads and grows a regional team of Data and AI technical specialists supporting Databricks customer production workloads across APJ and EMEA. Oversees global support coverage, develops team expertise, troubleshoots complex distributed data engineering issues, improves workload reliability and performance, supports adoption of new products, engages strategic customers, and partners with product engineering teams to improve Databricks platform supportability.

Lead product strategy and roadmaps for data science, ML, and cloud products in healthcare. Translate business needs into technical requirements and user stories, drive Agile delivery, analyze user and market data to set metrics, design and deploy AI-powered solutions responsibly, mentor junior PMs, and ensure compliance with healthcare regulations throughout the product lifecycle.

Hiring for multiple software engineering opportunities in Hyderabad, including fresher and experienced positions across Java, testing, Python, DevOps, AWS, full-stack development, data science, AI/ML, cybersecurity, Node.js, and React.js.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

Leads the organization’s data science and AI roadmap, managing a hands-on team that develops statistical models, experiments, forecasting, segmentation, production AI solutions, and agentic workflows. Drives GCP-based model deployment, MLOps/LLMOps, governance, observability, ethical AI, and adoption of AI tools. Partners with business, engineering, product, BI, and analytics teams to deliver practical data products, define success metrics, and communicate technical insights to executives.

Design, build, and deploy end-to-end AI systems and data pipelines that integrate mathematical optimization and machine learning into Sabre's travel platforms. Drive research and prototype scaling, define MLOps standards, refactor prototypes into low-latency production services, mentor junior staff, and collaborate with product and architecture teams to solve travel-specific challenges like GDS workflows and real-time itinerary optimization.

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.

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%.

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 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.

Creates accessible data science content on machine learning and deep learning, researches state-of-the-art techniques from open-source projects and journals, and develops and supports MOOCs covering data science, computer vision, machine learning, and NLP. The role requires Python, machine learning, deep learning, NLP, strong communication skills, and a six-month availability.

Lead end-to-end development and deployment of advanced analytics, ML, and generative AI solutions for commercial stakeholders. Translate business needs into production-grade models and AI applications, build ML pipelines and APIs, apply MLOps/CI-CD, ensure model evaluation/monitoring and responsible AI, mentor teams, and deliver scalable cloud-based data and AI platforms.

Build and maintain scalable analytics infrastructure and predictive models; define analytics roadmap; run experiments for acquisition, churn, delinquency and profitability; create dashboards and automated reports; monitor model and business performance; ensure data accuracy and partner with cross-functional teams.

Leads a data science organization responsible for strategy, production ML systems, model deployment, monitoring, scalability, and reliability. Partners with product, engineering, and business leaders to prioritize initiatives, improve ML platforms, guide research adoption, and resolve critical production issues. Mentors data scientists, drives technical and people development, and ensures experimentation rigor, cost efficiency, observability, and measurable business impact.

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.

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.

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.

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

Leads quantitative modeling and risk analytics workstreams across credit risk, provisioning, stress testing, capital, forecasting, and portfolio analytics. Defines methodologies, architectures, workplans, and quality standards; mentors teams; advises clients on model strategy, implementation, monitoring, and regulatory requirements; and translates complex analytics into business decisions. The role also supports proposals, client engagements, thought leadership, and development of India-based analytics talent.

Leads quantitative modeling and risk analytics workstreams for banking clients, including credit risk, loss forecasting, provisioning, stress testing, capital, and portfolio analytics. Defines methodologies, architectures, workplans, and quality standards; mentors teams; advises stakeholders on model strategy and implementation; and translates complex analytical results into business and risk decisions. The role also supports proposals, client engagements, thought leadership, and development of analytics talent.

Own product analytics and experimentation for eBay Live’s buyer experience. Lead A/B testing, causal inference, advanced behavioral analysis, and measurement strategy across discovery, engagement, bidding, purchasing, conversion, and retention. Partner with Product, Engineering, Design, and business leaders to shape strategy, influence decisions, and identify growth opportunities. Mentor junior analytics professionals, review analyses, and establish rigorous analytics standards and reusable frameworks.