Senior Data Scientist

Design and develop advanced analytical models for insurance use cases, including customer churn and lifetime value prediction. Build and exploit analytical datasets, then train, validate, and deploy machine learning models in production environments. Monitor model performance continuously and maintain technical documentation while transferring knowledge to the team. Leverage SQL, Snowflake, Python, and Snowpark to execute these tasks within a collaborative, high-impact project setting.