Top Data Scientist Jobs in Pune

As Vice President of Global Data Strategy and Governance, you will develop and implement a data strategy and governance framework for the Risk Management division within Asset Wealth Management. Your role includes collaborating with stakeholders, leading teams, ensuring compliance, and driving data management initiatives to transform credit risk operations into a data-driven organization.

As an Advanced Data Science Associate at ZS, you will develop advanced algorithms, utilize statistical and machine learning techniques, and collaborate with clients to provide valuable analytical insights. You will also assess emerging datasets and technologies to enhance the analytical platform.

This role involves developing data-driven solutions for complex IT infrastructure and enhancing customer experiences through predictive and prescriptive analytics. Responsibilities include leading analytic engagements, creating programs for data manipulation and statistical analysis, mentoring junior staff, and collaborating with cross-functional teams to drive business initiatives.

The consultant will develop and optimize machine learning models and AI algorithms, primarily focusing on LLMs and SLMs. Key responsibilities include deploying models on cloud platforms, collaborating with clients to meet their AI needs, mentoring junior members, and staying updated with industry trends.

The Lead Data Science Engineer will manage AI model configurations, analyze complex data requirements, and collaborate with cross-functional teams to ensure effective data solutions. Responsibilities include overseeing data pipelines, production deployments, and architecting enterprise-level data warehouse solutions, while also presenting technical insights to executives.

The Senior Data Scientist will develop data science and machine learning solutions, apply advanced algorithms to large datasets, and support business stakeholders in understanding the value of these solutions. Responsibilities include collaborating with team members, following best practices in machine learning, and contributing to innovation in the field.