About the Role
As a Data Scientist II, you will contribute to the design, development, testing, and delivery of data science, Machine Learning, Generative AI, and Agentic AI solutions that address business needs and improve customer experiences. You will apply statistical analysis, predictive modeling, Large Language Models, Retrieval-Augmented Generation, and up-to-date AI frameworks to build reliable analytical and intelligent capabilities.
This individual contributor role participates across the data science lifecycle, from data collection and preprocessing through model development, evaluation, integration, and production support. Working with a moderate level of guidance, you will solve complex technical problems, collaborate with senior data scientists and cross-functional partners, and expand your knowledge of enterprise AI technologies, business processes, and customer needs.

Key Responsibilities
• Develop data science and AI solutions: Prepare and analyze structured and unstructured data, engineer features, and contribute to predictive models, NLP and LLM solutions,



RAG pipelines, intelligent assistants, and Agentic AI workflows.

• Evaluate and improve solution quality: Apply suitable metrics, test datasets, error analysis, experiment tracking, model validation, performance testing, and responsible AI checks to improve accuracy, relevance, reliability, latency, and cost.

• Support deployment and engineering: Build reusable code, APIs, notebooks, pipelines, containers, model artifacts, monitoring components, and automated workflows with engineering and senior data science team members.

• Collaborate, communicate, and maintain standards: Translate requirements into assigned deliverables, communicate insights through visualizations, prototypes, reports, and documentation, and manage code, data, and experiments in line with security, privacy, governance, version control, responsible AI, and current ML and AI practices.

Required Qualifications
• Bachelor’s or M

📌 Data Scientist (Pune)
🏢 Wolters Kluwer
📍 Pune