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 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.

The role involves developing analytics and insights for Procurement, applying data analytics, establishing data governance, and collaborating with stakeholders to enhance decision-making and operational effectiveness.

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.

This role involves overseeing multi-program delivery in Analytics, Data Science, and AI, managing teams, fostering client relations, and ensuring governance and operational excellence.

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 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.

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.

Design and implement enterprise-scale analytics and AI/ML solutions. Collaborate with SMEs, engineering, product, and commercial teams to define use cases, perform exploratory analysis, build scalable models, ensure data quality and governance, apply MLOps for lifecycle management, and present insights to stakeholders.

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.

Lead onboarding and activation strategies, enhance user experiences, drive conversion rates, run data-driven experiments, and mentor PM teams.

The Senior Product Manager will drive AI-led innovation, define AI product strategy, ensure compliance with responsible AI principles, and collaborate across teams to deliver impactful AI features.

The Proposal Leader drives strategy and governance for complex proposals, aligning solutions with client outcomes and improving win rates in ServiceNow consulting deals.

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.

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

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

The role involves designing, experimenting, and deploying AI/ML models, monitoring performance, and requires experience in building production models.

Lead the development of machine learning models for credit risk analysis, including logistic regression and model validation techniques, while collaborating with cross-functional teams.

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 job involves designing, testing, and optimizing prompts for AI-driven applications using large language models, ensuring accuracy, and collaborating with cross-functional teams.

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.