Data Scientist
Core
Develops, analyzes, and models operational, economic, and organizational data to quantify competitive performance, evaluate operational changes, and design new methodologies for the auto insurance rating analytics team.
Role type
Senior IC data scientist (insurance risk modeling)
Builds
New product innovations, predictive models, and actionable insights for the auto insurance market
Domain
Insurance / Risk Analytics / Predictive Modeling
Deliverable
production ML models
Required skills
Statistical modeling, Machine learning, Data manipulation, Predictive modeling, Business analysis, Python, SQL, R, Distributed computing, Hypothesis testing, Model validation
Preferred skills
Actuarial experience, Cloud platforms (Azure/AWS), Scala, PySpark, ECL
Technologies
Python, R, SQL, pandas, scikit-learn, NumPy, XGBoost, PyTorch, rpart, party, caret, Pyspark, Azure, AWS
Responsibilities
Develop and train models using GLM techniques for auto insurance risk; Analyze large datasets from diverse sources to recommend solutions; Support the development of best practices; Provide informal guidance to junior staff; Quantify competitive performance of business segments
Seniority
Senior, hands-on IC with mentorship responsibilities