Top Data Science Jobs in Mumbai

Support investment accounting by reviewing and setting up securities, processing daily transactions, resolving automation exceptions, responding to data inquiries, and improving systems and automation to increase straight-through processing and data integrity. Participate in efficiency and capacity-building initiatives, record team metrics, and collaborate with stakeholders to ensure accurate accounting and reporting.

The Senior Associate, Data Science & AI delivers insights and AI analytics tools for Pfizer's Commercial organization, focusing on modeling, segmentation, forecasting, and effective communication of findings.

The Manager, Analytics & Data Science will oversee analytics initiatives, develop solutions for risk management, and communicate insights effectively to stakeholders.

Lead the development of advanced analytics solutions for media marketing optimization, drive strategic decisions, and mentor a team in data science and analytics.

Develop strategies for Insights and Analysis for clients, manage analytics engagements, communicate insights, and guide team development.

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.

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

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.

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

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 User Researcher will lead research projects from discovery to synthesis, using various methods to gain insights that improve products while collaborating with stakeholders.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

The role involves using scientific expertise to evaluate AI-driven life science tools, designing criteria for AI solutions, and ensuring alignment with scientific data and customer needs.

The Head of Product will define the vision and strategy for Branch's India product, manage the product team, and drive product delivery while collaborating with multiple stakeholders.

Lead the data science roadmap, developing machine learning and AI solutions. Manage a team and collaborate across functions to enhance customer experience and business decisions.

Lead innovation and analytics, develop machine learning models, and provide analytical thought leadership across various functions while managing projects and teams effectively.

The role involves developing data-driven strategies and managing client analytics, while leading team development and integrating datasets.

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.

Design and implement scalable analytics and AI/ML solutions for enterprise applications. Lead data cleaning, modeling, validation, and MLOps collaboration; present insights and uphold data governance and ethical AI practices.

The role involves leading tech project management for theft detection initiatives, collaborating with executives, and coordinating cross-functional teams to ensure project success.

Lead and manage the AI & Data Science function, set technical strategy, deliver AI solutions, collaborate across teams, and communicate impact to stakeholders.

The Principal Engineer, Data Science role involves leading projects in predictive modeling, optimization, and data solutions deployment. Responsibilities include translating client use cases into technical designs, guiding project architecture, and collaborating with cross-functional teams.

This role involves overseeing data science projects, leveraging predictive modeling and machine learning to develop client solutions, and collaborating with teams on technical designs.

The Principal Engineer, Data Science will lead data science projects, focusing on predictive modeling, optimization, and cloud solutions while collaborating with cross-functional teams.

Build and deploy statistical and machine learning models (including LLMs/GenAI) for ad targeting, forecasting, and optimization; analyze large datasets; run A/B tests; collaborate with engineering and product teams to integrate models into production and present results to stakeholders.