Data Scientist @ EXL

Data Scientist Insurance Analytics

Role Summary

We are seeking a Senior Data Scientist (6 7 years of experience) to support an analytics initiative focused on the insurance domain. This is a client facing role requiring strong analytical expertise, hands-on modeling experience and the ability to independently drive analysis, present insights and collaborate with stakeholders.

Candidate Profile

• Bachelor s/Master s degree in economics, statistics, mathematics, computer science/engineering, operations research, or related analytics areas.
• Strong data analysis experience with complex, real world datasets.
• Demonstrated capability in solving business problems using both traditional ML and emerging GenAI/LLM based approaches.
• Superior analytical thinking and problem-solving skills.
• Outstanding written and verbal communication skills with confidence in client interactions.

Key Responsibilities

• Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing to identify fraud patterns and anomalies.
• Build, evaluate, and optimize traditional statistical models as well as tree-based ML models such as Random Forest, XGBoost, CatBoost, and LightGBM.
• Explore and apply LLM based approaches (e.g. text classification, summarization, entity extraction) for leveraging unstructured data such as claim notes, adjuster comments and documents.
• Develop GenAI powered accelerators for documentation, feature ideation, data enrichment and model insight generation.
• Independently conduct data analysis, research, model experimentation and translate findings into actionable insights.
• Write clean, efficient and production ready code using Python and SQL.
• Work extensively with large datasets using cloud platforms, primarily Google Cloud Platform (GCP).
• Query and manage data using Big Query and datasets stored in Cloud Storage (Buckets).
• Use Git for version control, collaboration and code review.