Top Data Science Jobs in India

Drive inbound and outbound sales for technology training programs, counsel prospective learners, recommend courses based on career goals, manage lead qualification through enrollment, conduct follow-ups across phone, WhatsApp, and email, maintain CRM records, build prospect relationships, and achieve monthly sales and revenue targets.

Serve as a pre-sales technical architect for Anthropic’s GSI, regional systems integrator, and cloud partners. Build technical relationships, enable partner AI practices, develop industry-specific generative AI solutions and reference architectures, support strategic customer deals, troubleshoot complex issues, lead technical events and enablement, and provide partner-driven product feedback. The role requires extensive partner-facing experience, scalable cloud architecture expertise, strong communication skills, and familiarity with LLM frameworks or machine learning.

Performs advanced data science research, designs and executes solutions for complex problems, explores novel analytical approaches, and contributes to refining and deploying high-impact data science solutions. Works independently with moderate latitude on projects of moderate scope and complexity, collaborating across related disciplines and reporting to a Data Science Manager or senior technical leader.

Faculty position to teach and mentor undergraduate/postgraduate students, conduct and publish research in computer engineering, CS, AI, data science and analytics, supervise doctoral students, engage with industry, and contribute to curriculum and departmental activities at the Shirpur campus.

Lead a team of Data Scientists and ML Engineers to develop AI-driven healthcare applications. Provide technical guidance, mentorship, and ensure high-quality delivery of scalable solutions.

Lead a team to design and implement security protocols for AI systems, develop detection and mitigation tools, perform AI adversarial testing and audits, ensure compliant secure deployments, research emerging AI security technologies, and collaborate with global stakeholders while managing operations for a 10+ person team.

Engage prospects and customers to design and implement Data Science and AI solutions across risk, marketing, and collections; lead demos, POCs, proposals, GTM materials, and work with sales and delivery teams to win and implement deals.

Lead and grow a data science team to deliver predictive and ML-driven insights. Partner with business and engineering to build production-ready models, enforce model governance, ensure explainability, and measure business impact while driving continuous improvement.

Lead cross-functional teams to define and execute product strategy for the Service (Fixed Ops) portfolio. Ship AI-native agents and ML-powered features, partner with Data Science and Engineering to productionize trustworthy AI, own KPIs and commercial cases (pricing, packaging, ARR), improve the PDLC across scheduling, repair orders, warranty, invoicing and customer communication, and manage and mentor a team of product managers.

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.

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.

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.

Lead regional GenAI product strategy and commercial performance for EMAP's Ascend and Fraud portfolios. Define and productize GenAI use cases, embed features into core platforms, drive market adoption and revenue, partner across Engineering, Data Science, Sales and GTM, ensure governance and responsible AI, and co-create with clients to scale monetizable GenAI offerings.

Lead regional GenAI product strategy and commercialization across Ascend and Fraud portfolios. Drive discovery, productization, scaling, and adoption of GenAI features; partner with Engineering, Data Science, Sales and GTM; ensure governance, explainability, and measurable commercial outcomes.

Teach and mentor BCA students, deliver high-quality lectures, engage in academic and administrative duties, supervise student learning, and contribute to research and publications in computing fields.

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

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.

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

Lead and coach cross-functional, global teams to deliver projects using Agile/Hybrid practices. Manage program portfolio, budgets, QDC metrics, risk, and stakeholder communication. Drive Agile transformation, DevSecOps and AI integration, optimize processes, and report progress to leadership.

Senior media leader responsible for client relationship management, integrated digital strategy, campaign governance, measurement adoption, team leadership, and commercial/account profitability. Drives growth through innovative, data-driven media solutions across search, social, programmatic, video and commerce.

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.

Lead and deliver multiple large-scale technical programs across the SDLC, drive PMO processes and governance, manage stakeholders, and oversee AI/ML initiatives from definition through deployment while tracking metrics, risks, and portfolio performance.

Lead design and implementation of Java-based enterprise solutions; capture requirements; design scalable, distributed architectures using Spring ecosystem; mentor developers; perform code reviews, performance and validation testing; implement PoCs and DevOps practices; troubleshoot bottlenecks and ensure application quality and scalability.

In-house talent acquisition for a tech company hiring Data Engineering, Data Science, DevOps, Java, and MERN roles. Manage high-volume joining targets in a fast-paced environment. Work five days onsite in Noida; immediate joiners preferred.