Top Data Science Jobs in Mumbai

Lead the development of scalable AI solutions for the International Commercial business, integrating software engineering and data science practices. Mentor junior members, oversee AI application development, and communicate insights to stakeholders to support data-driven decision-making.

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

The Data Scientist will leverage AI and machine learning expertise, focusing on Generative AI and LLMs, to develop innovative solutions and POCs across industries.

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.

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

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

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

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.

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.

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 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.

Responsible for generating statistical reports, managing sales price tables, determining sales premiums and commissions, and preparing sales efficiency reports.

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

The Director of Data Science will lead the delivery of data science and analytics solutions, mentor teams, and collaborate with stakeholders to drive efficiency and revenue outcomes.

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 AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate 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.

The Principal Engineer, Data Science will lead data science projects focusing on predictive modeling, cloud solutions, and machine learning techniques while collaborating on technical designs to meet client requirements.

As a Quantitative Data Analyst, you will source, design, and manage datasets for trading desks, solving data-related issues and enhancing productivity.