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.
The ideal candidate will have a solid foundation in statistical modeling and hypothesis testing, deep experience in tree-based and ensemble machine learning models, exposure to cloud-based data platforms and working knowledge of modern Generative AI and Large Language Model (LLM) techniques relevant to insurance analytics.
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, Cat...