Top Data Scientist Jobs in Pune

The role requires leading digital transformation within consulting for pharma clients, focusing on technology, business growth, and building high-performing teams.

Design and implement technical features, collaborate with clients, write production-ready code, ensure quality deliverables, mentor team members, and implement ML models on large scale.

Lead the application of optimization techniques on large datasets, collaborate with engineering to deploy solutions, and manage project teams while contributing to data science capabilities and thought leadership.

Drive innovation in e-commerce product management, collaborating across teams to define and execute product strategy, manage launches, and achieve business goals.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

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.

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 Staff Engineer will lead Data Science projects, architect systems, mentor team members, and ensure code quality while delivering impactful solutions.

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.

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

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.

As a Data Science & Network Researcher, you will develop AI models, analyze network data, collaborate with engineers, and enhance products with data-driven insights.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

The role involves leading data science initiatives, defining system architecture, mentoring team members, and overseeing project requirements and solutions. Strong programming and statistical knowledge are essential.

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