Top Data Science Jobs in Mumbai

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 AI Program Manager will lead AI and Data Science projects, manage cross-functional teams, and ensure timely delivery of AI solutions while aligning with business goals.

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.

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

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

As a Product Manager, you will manage the lifecycle of enterprise AI solutions, aligning product strategy with market needs while collaborating with various stakeholders.

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

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

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 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.

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.

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 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.

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 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.

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 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 Data Science Lead analyses and models data to create actionable insights, develops AI solutions, and mentors junior team members.

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

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