Data Scientist
Core
Build statistical and machine learning models to address business needs and comply with regulatory requirements within the insurance industry.
Role type
Data Scientist
Builds
Production ML models and analytical visualizations for insurance risk and claims
Domain
Insurance / Quantitative Analytics
Deliverable
production ML models
Required skills
SQL, statistical modeling, machine learning (classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning), Python, R, TensorFlow, Scikit-learn, Keras
Preferred skills
PhD in quantitative discipline, insurance industry experience
Technologies
Python, R, TensorFlow, SQL, Scikit-learn, Keras
Responsibilities
Use statistical and machine learning techniques to build models; work with large, complex data sets; conduct ad-hoc analysis and present results via visual displays; design, prototype, and implement new problem-solving approaches; create clear documentation for models; monitor model performance and implement iterative improvements
Seniority
Mid-level (2-4 years experience)