Top Data Science Jobs in India

Leads planning and execution of complex data science projects from business understanding through model deployment and monitoring. Coordinates product, engineering, data science, and leadership teams; manages roadmaps, dependencies, risks, trade-offs, escalations, and status reporting. Translates technical concepts into business language, drives continuous improvement, facilitates retrospectives, and ensures alignment across matrixed teams.

Supports the PXT CFO through forecasting, budgeting, management reporting, P&L and metric analysis, financial commentary, month-close deliverables, and capitalization and amortization activities. Produces budget and review materials, responds to senior-management requests, and contributes to reporting strategy, dashboards, automation, and financial analytics for leadership and public disclosures.

Leads advanced data science initiatives using statistical techniques, algorithms, models, and large structured and unstructured datasets. Develops analytical experiments, identifies trends and insights, resolves complex business problems, and makes recommendations that influence strategies and decisions. Collaborates with managers and peers, leads projects or teams, mentors junior staff, and communicates actionable findings to nontechnical audiences.

Owns strategy, roadmap, metrics, and delivery for pricing and discount optimization products and internal sales enablement tools. Partners with business, sales operations, data science, analytics, engineering, and product teams. Leads established products and 0-to-1 AI/DS-first initiatives, including GenAI agents, while conducting user research, data analysis, and stakeholder influence to drive adoption and business value.

The Technical Architect will lead service delivery for product implementation, guiding a technical team and ensuring project success with deep knowledge of the Blue Yonder platform and related technologies.

Lead AI-first product strategy and execution for enterprise SaaS products. Own prioritization, backlogs, business cases, customer insights, experimentation, success metrics, and cross-product dependencies. Partner with engineering, data science, and Scrum teams to deliver AI-enabled capabilities, including automation, predictive intelligence, and generative experiences. Ensure responsible AI governance, measurable customer outcomes, and platform scalability while mentoring junior product professionals.

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.

Supports project management within a government-embedded agriculture PMU, coordinating stakeholders, implementing activities, and managing program monitoring and learning. Responsibilities include developing surveys and focus group instruments, conducting research, preparing briefs and presentations, maintaining documentation, supporting budgeting and hiring, organizing events, and disseminating findings through reports, blogs, and policy briefs. The role requires strong economics and field research knowledge, excellent communication and organizational skills, creative problem-solving, and willingness to travel across Maharashtra.

Lead and own the Data Science and AI function, driving analytics strategy, stakeholder engagement, portfolio outcomes, team leadership, technical design, and compliance with data policies to deliver measurable business value.

Design and architect high-scale, geo-distributed platforms supporting Office web applications. Develop secure, reliable, scalable software and tests; benchmark performance; identify modernization opportunities; build proofs of concept; define components and service dependencies; collaborate across engineering teams; and promote engineering excellence. The role also involves leveraging AI to improve productivity and influencing architecture, technical strategy, and platform development.

Own a Business Onboarding Verification workstream end-to-end: define problems, set roadmap, translate ambiguous KYB issues into measurable product requirements, partner cross-functionally, launch with guardrails, and iterate to reduce manual review, operational cost, and customer friction while improving controls and auditability.

Lead presales engagement for enterprise AI training solutions worldwide. Responsibilities include analyzing client requirements, designing customized curricula, delivering demos and presentations, supporting the sales funnel, developing proposals, and coordinating transitions to delivery. The role requires strong AI, Data Science, Analytics, cloud, and GPU expertise, along with the ability to translate technical capabilities into business value for diverse stakeholders.

Drives growth through complex, high-value sales opportunities across data, analytics, AI, and SaaS solutions. Owns the full sales cycle, expands executive stakeholder networks, supports strategic renewals, leads workshops, and communicates measurable customer value. Partners with account managers and cross-functional teams in enterprise, academic, and government environments. Extensive regional travel and engagement with senior stakeholders are required.

Drives strategic sales growth across data, analytics, AI, and SaaS solutions for academic, government, and enterprise accounts. Owns complex opportunities through the full sales cycle, expands executive stakeholder networks, supports high-value renewals, leads workshops, and communicates measurable customer value. The role requires strong commercial judgment, technical fluency, senior-level presentation skills, cross-functional collaboration, and extensive regional travel.

Drive full-cycle sales for complex, high-value AI research workspace opportunities. Originate and close new business, support strategic renewals, expand stakeholder relationships, lead value-based workshops, and translate AI and research analytics capabilities into measurable customer outcomes. Engage senior decision-makers across enterprise, government, academic, and research organizations while developing pipelines, territories, business cases, negotiations, and long-term account growth.

Owns the full sales cycle for complex, high-value AI research workspace opportunities, from prospecting and discovery through negotiation and closure. Builds executive stakeholder relationships, generates new business, supports strategic renewals, leads workshops, develops business cases, and communicates measurable value from AI-powered research and knowledge workflow solutions. Requires enterprise sales expertise, AI fluency, consultative selling skills, and extensive regional travel.

Leads the AI and Automation Activation team as a people manager and player-coach. Partners with business and technology stakeholders to identify, activate, and scale agentic AI, generative AI, analytics, and automation use cases. Drives adoption, roadmap development, measurable value realization, responsible AI governance, monitoring, and continuous improvement while coaching team members and developing activation playbooks and operating practices.

Leads advanced data science initiatives by analyzing large structured and unstructured datasets, developing statistical and machine learning models, and generating actionable business insights. Collaborates with stakeholders, communicates recommendations to nontechnical audiences, resolves complex analytical issues, mentors junior staff, and supports strategic decision-making across business domains.

Supports AI-enabled vulnerability management across application and infrastructure security within a DevSecOps framework. Develops and operationalizes AI capabilities for threat detection, analysis, mitigation, and response; performs penetration testing and adversarial assessments; addresses AI-driven risks; manages incidents; and partners with engineering, operations, compliance, and risk teams to deliver production-ready cybersecurity solutions.

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.

Support Private Bank operating model and process excellence initiatives by analyzing data, identifying automation and AI opportunities, developing business cases, and delivering workflow, reporting, and decision-support solutions. The role coordinates business, operations, technology, and COO stakeholders; manages requirements, governance, testing, implementation, adoption, and continuous improvement while using analytics to reduce risk, improve productivity, and enhance client outcomes.

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.

Drives innovation across designated business streams by identifying strategic opportunities, shaping emerging technology initiatives, and supporting client-facing solution development. Collaborates with senior stakeholders and cross-functional teams to move innovation projects from ideation through implementation and adoption. Builds internal and external partnerships, facilitates workshops and research, supports business change, and contributes to innovation roadmaps, reporting, and strategic planning.

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.

Lead design and delivery of production-grade AI systems including RAG and agentic AI. Develop LLM-based solutions, vector search, embeddings, and autonomous agents. Implement cloud deployments, MLOps (Docker, Kubernetes, MLflow), CI/CD, and workflow orchestration while managing context, memory, tool-calling, and multi-step reasoning.