Top Data Science Jobs in Mumbai

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

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.

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.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.

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 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.

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 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.

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

Seeking a Data Science/Machine Learning Engineer with strong Python and machine learning skills, particularly in NLP and cloud platforms.

The job involves utilizing Python and machine learning techniques, specifically for NLP tasks and data processing, using tools like Spark and Azure.

Lead the Product Design & Research team, mentor designers, collaborate with cross-functional teams, and drive design processes impacting Loopio's product strategy.

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

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

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.

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

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.

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.

The Data Science/Machine Learning Engineer will work with machine learning techniques, LLMs for NLP tasks, and data processing tools.

Design, test, and optimize prompts for AI systems, analyze performance, collaborate with teams, and communicate findings effectively to stakeholders.