Top Data Science Jobs in Mumbai

Drive regional technical vision and strategy for CrowdStrike in India: influence product roadmap, engage customers, partners, governments and media, identify new technologies and partnerships, and provide cross-functional strategic guidance to Product, Sales, CTOs and engineering teams.

The Product Owner is responsible for the product vision, roadmap, and stakeholder alignment in delivering enterprise data products. This includes managing backlogs, ensuring product adoption, establishing governance, and maintaining high-quality standards.

The Engineering Manager will lead AI & ML initiatives focused on data collection, overseeing technical projects and developing a high-performing team. Responsibilities include providing technical direction, mentoring staff, ensuring system reliability, and maintaining data integrity and security. The role requires expertise in NLP and data processing with an emphasis on collaborative leadership and continuous innovation.

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%.

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 GenAI Product Lead will drive product strategy and execution for AI-enhanced offerings, ensuring commercial success across EMAP by embedding Generative AI capabilities and managing cross-functional collaborations.

Design, develop, and deploy production-ready AI/ML and Generative AI solutions. Requires strong foundation in data science, machine learning, neural networks, and deep learning. Must have a relevant degree and 4-6 years of ETL or data management experience.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As an Associate Product Manager, you will manage product development cycles, collaborate with engineering and operational teams, evaluate partnerships, and prioritize projects to improve customer adoption.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

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.

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.

Lead design and maintenance of data pipelines and data lake, define data models and catalogue (PolyBase), develop analytics and ML models, drive data-driven decision-making, collaborate with stakeholders and promote advanced analytics across the organization.

Lead design and delivery of end-to-end AI/ML and Generative AI solutions, architect scalable cloud-based platforms, integrate LLM/RAG/agentic systems, implement MLOps and governance, and mentor teams while driving AI strategy with stakeholders.

The Data Science Engineer will analyze and prepare raw data, develop data models, and proficiently use SQL and Python for ETL processes.

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.

Lead design, development, and deployment of AI/ML solutions for sustainability, ESG, and H&S. Hands-on agent and LLM/BERT development, architect enterprise-grade systems, manage end-to-end ML lifecycle (data strategy, MLOps, production), advise senior clients, mentor teams, and ensure responsible AI, governance, and scalability.

Lead design and delivery of NLP and Generative AI solutions, from problem definition through deployment. Build and fine-tune transformers and LLMs for summarization, QA, classification and chatbots, apply classical and deep learning methods, ensure scalable reproducible ML workflows in cloud environments, mentor junior data scientists, and collaborate with product and engineering to translate business problems into AI solutions.

The role involves analyzing data to drive strategic decisions and improve employee benefits services. Requires strong analytical skills and experience in data science.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Facilitator will deliver academic support in Data Analytics through live sessions, tutoring, and quality assurance, while collaborating on curriculum enhancements and mentoring others.

Lead AI/ML initiatives as an individual contributor: design and implement ML solutions, develop and maintain code, define architecture, guide data infrastructure, and collaborate with cross-functional teams to solve business problems.

The Director of Data Science will lead the development of AI systems, manage a team, and drive knowledge sharing while ensuring project alignment with business goals.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.