Top Data Science Jobs in Mumbai

The Senior Manager will lead the AI for Targeting & Segmentation program, ensuring alignment with market needs, and oversee cross-functional delivery to realize business outcomes through AI capabilities.

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 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 Data & AI Manager will drive client value through data analytics and AI, ensuring data quality and developing predictive models while managing stakeholder relationships.

The Senior Manager, Technology Leader is accountable for technology initiatives in Innovative Medicine, ensuring compliance and modernization of business capabilities while driving technology evolution and partnerships.

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.

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

Lead the strategy and execution of Generative AI products across EMAP, driving innovation, product adoption, and aligning with customer needs and regulatory standards.

The Director of Actuarial Services will lead financial engineering for Value-Based Care contracts, manage a team of actuaries, and provide strategic advice to executive leadership.

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

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 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 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.

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

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

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

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

The Sr Principal Engineer will lead AI/ML strategies, develop solutions for business problems, and work with data scientists to implement ML models.

The role involves leading AI and ML strategies, integrating advanced capabilities into products, and optimizing data science models, emphasizing innovation and reliability.