Top Data Scientist Jobs in Pune

As a Senior Engineer for Large Language Models, you will create GenAI applications, develop RAG-based pipelines, and optimize prompt engineering.

As an Advanced Data Science Associate, you'll develop advanced algorithms, apply statistical techniques, and collaborate with clients to communicate analysis findings.

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

As a Data Science Associate Consultant, you'll design analytics solutions, implement AI models, collaborate on machine learning projects, and develop algorithms for complex data sets.

Lead and execute high-impact analytics solutions using optimization techniques on large datasets, manage project teams, and communicate findings with clients.

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working 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 Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

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.

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

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

Lead implementation of ML solutions, mentor data science team, design scalable systems, and ensure customer success in data science projects.

The Data Science Manager will lead strategic data initiatives, construct advanced analytics solutions, mentor junior staff, and drive AI/ML adoption across industries while managing client engagement and project deliverables.

The Senior Staff Engineer, Data Science will lead data science projects, mentor team members, and implement machine learning solutions, focusing on statistical analysis, model deployment, and using deep learning frameworks.

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

Lead and develop advanced analytics solutions, collaborate with cross-functional teams, and communicate findings to stakeholders while focusing on machine learning and natural language processing.

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

The role involves providing advanced analytics and data science insights to sales, developing predictive models, collaborating on AI use cases, and driving ML product development.

The role involves designing, developing, and deploying machine learning models for AI-driven banking solutions. Responsibilities include understanding requirements, coordinating application development, and leading user acceptance tests.

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.

Lead a team of data scientists in model development, deployment, and evaluation. Ensure code quality and manage project delivery effectively.