About the Role
The FCC DnA team is seeking a motivated Data Scientist to join our AI Modeling team and help build the next generation of AI-powered products and capabilities.
This role is ideal for an early-career Data Scientist with a solid foundation in Statistics, Mathematics, Machine Learning and programming who enjoys solving real-world business problems using data.
You will work alongside experienced Data Scientists and partner with Product, Engineering and Business teams to explore data, build and evaluate models, and contribute to AI solutions across Machine Learning, NLP and Generative AI.
We are looking for someone who is curious, analytical, hands-on and eager to develop strong modeling skills while contributing to production-oriented AI solutions.
Key Responsibilities
• Perform exploratory data analysis to understand data patterns, relationships, distributions and data-quality issues.

• Develop baseline statistical and Machine Learning models for classification, regression, clustering and other predictive use cases.

• Perform data preparation,



feature engineering and feature selection.

• Compare multiple modeling approaches using appropriate performance metrics and summarize the trade-offs.

• Apply techniques such as train/test splitting and cross-validation to evaluate model performance.

• Conduct error analysis and help identify opportunities to improve model accuracy and reliability.

• Document modeling assumptions, methodology, results and limitations clearly.

• Collaborate with senior Data Scientists to validate and refine modeling approaches.

• Develop clean, reusable Python code and contribute to shared modeling components.

• Support integration of models into AI applications and production workflows.

• Contribute to NLP, Generative AI, RAG and other Applied AI initiatives based on project needs.

• Participate in knowledge-sharing sessions and continuously build expertise across Data Science and AI.

Required Qualifications
Experience

📌 Data Scientist (Pune)
🏢 Wolters Kluwer
📍 Pune