Top Data Science Jobs in Mumbai

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.

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 Director AI/DS Platforms will lead the development and operationalization of a scalable AI platform for MedTech, ensuring compliance and delivering high-impact AI solutions. Responsibilities include building the platform vision, aligning with strategic priorities, managing costs, and fostering a culture of innovation across 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 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 Principal GenAI Product Manager will develop and execute the GenAI product strategy across EMAP, focusing on embedding AI capabilities into products and driving adoption across markets.

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.

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

The Senior Manager will develop statistical models using SAS, optimize data processes, and provide insights through collaboration with cross-functional teams.

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.

Lead and mentor a team of data scientists, overseeing ML initiatives and driving business impact through effective data science practices.

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

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

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

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

The role involves leading data science projects focusing on predictive modeling and optimization, specifically using machine learning and cloud technologies. It requires collaboration with clients to translate business needs into technical solutions, including design architecture and guidelines, while managing project standards and ensuring best practices are followed.

The Principal Data Science Engineer will leverage statistical analysis and machine learning to optimize airline revenue performance and customer experience, collaborating with teams to develop data models and algorithms, and support product development cycles.

The Senior Data/Machine Learning Analyst develops, tests, and operationalizes data science solutions, leveraging various data types and analytics methods to drive business innovation at Cardinal Health.