Top Data Science Jobs in Mumbai

The role involves leading product management for data science and AI initiatives, defining roadmaps, engaging stakeholders, and driving adoption of AI products across teams.

As Vice President of Controllers Data Transformation, you'll lead strategic initiatives, optimize processes, manage teams, and integrate technologies like LLM APIs to drive transformation within the Finance team.

The Senior Associate, Data Science & AI will deliver data-driven insights and AI-powered analytics tools, develop predictive models, support marketing analytics, and collaborate across teams to drive commercial decision-making in pharmaceuticals.

Lead the execution and interpretation of AI/ML models, design advanced analytics, and collaborate with teams to deliver insights for commercial decision-making.

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

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 Client Solutions Partner will drive sales of Data Science solutions to Enterprise clients, build business cases, architect solutions, mentor teams, and lead data strategy discussions.

The role involves designing and optimizing Tableau dashboards, data pipelines, and reporting solutions for Balance Sheet Management and IRRBB. Requires strong technical skills in data visualization, ETL processes, and data science techniques to improve analytics and automate reporting.

This role involves developing strategies for Insights and Analysis, managing analytics engagements, and leading team development while providing data-driven recommendations to clients.

The Manager will develop strategies for Insights and Analysis, manage analytics engagements, train the team, and communicate insights to clients.

Lead complex projects that enhance technology solutions at Pfizer, focusing on Agile implementation, stakeholder engagement, and communication of project statuses.

The role involves developing AI solutions, data engineering, and analytics products, ensuring system integration, automation, and collaboration within teams to enhance Pfizer's digital transformation efforts.

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working with stakeholders.

The Data Analyst will contribute to data interpretation and analysis of climate transition products, support quantitative research on climate policies, and assist sales with client inquiries.

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 Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

As an Intelligence Analyst, you will create intelligence assessments on global security issues and support national security decision-making by fusing AI-derived data with open-source information. Responsibilities include producing assessments, briefings, and collaborating within an intelligence team.

As a Senior Product Manager for lending, you will shape product strategies, manage roadmaps, conduct market analysis, and oversee product development to enhance lending services in emerging markets.

Manage a team of Solutions Architects focusing on enterprise and strategic customers, enhancing team effectiveness and promoting data-driven solutions.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

As a Sr. Data Scientist, you will work with large datasets, implementing ETL and machine learning pipelines while improving data quality and analyzing algorithms.

As a Product Researcher, you'll plan and conduct user research, deliver insights for product decisions, and collaborate with teams to improve user experience across Coursera's enterprise workflows.

The Director of Data Science & Automation will lead teams in developing AI/ML solutions, influence data strategy, and deliver impactful insights, requiring extensive experience in data science and leadership.