Machine Learning Engineer
Core
Building and deploying predictive machine learning models to support pricing strategy and organizational decision-making for property and casualty insurance products.
Role type
Senior Data Scientist (Machine Learning)
Builds
Predictive models, pricing models, and reusable modeling frameworks for insurance products.
Domain
Insurance (Property & Casualty) / Machine Learning
Deliverable
production ML models
Required skills
Statistical modeling, Machine Learning, Supervised/Unsupervised Learning, Ensemble Techniques, Constraint Optimization, Deep Learning, Regression analysis, Exploratory data analysis, Data preprocessing
Preferred skills
Master's degree in Statistics, Mathematics, Analytics, or Computer Science
Technologies
GLM, Probabilistic Models
Responsibilities
Build GLM pricing models and machine learning models for insurance products; Synthesize data to uncover trends and assess business impact; Research and implement statistical methodologies; Perform data validation, preprocessing, and exploratory data analysis; Develop adaptable modeling frameworks and reusable assets.
Seniority
Senior, hands-on IC