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.

Lead the development of advanced analytics solutions using data science techniques, overseeing analytics processes and mentoring teams to drive data-driven decision making and optimize business outcomes.

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

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.

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 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.

As a Product Manager, you will oversee the product lifecycle, ensure alignment with client needs, and lead cross-functional teams to deliver AI-driven solutions.

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.

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 role involves the proactive offer release of two AI engineers, focusing on data science and AI applications.

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

The role involves the proactive offer release for a Principal Solution Architect focusing on AI and Machine Learning.

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 Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

Lead innovation and analytics in research, marketing, and sales; develop and deploy machine learning models and AI technologies while managing large data sets.

The role involves leading machine learning initiatives, designing solutions, and collaborating with stakeholders to enhance business value through data.

Design and optimize prompts for AI systems, evaluate model performance, collaborate with teams on machine learning strategies, and document best practices.

The Senior Research Analyst will develop and enhance statistical and machine learning methodologies, collaborate with teams, and optimize existing models to support product development.

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.