Actuarial - Data Science
Tasks
- Address model interpretability bias and anomalies
- Build Python modeling pipelines
- Collaborate with data science pricing and underwriting teams
- Create explainable model outputs
- Enhance tiering models using machine learning
- Maintain reproducible and well documented code
- Perform feature engineering and data preparation
- Select models and run quality assurance
- Support technical rollout of tiering models
- Train validate and optimize classification models
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Data Preprocessing | Data Quality | Explainable AI | Feature Engineering | Machine Learning | Model Validation | NumPy | Pandas | Python | SHAP | Scikit-learn | XGBoost
Education
N/A
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