Senior Software Engineer/Data Scientist
Core
Building and deploying analytical and machine learning solutions (GLMs, GBMs) to address complex business and regulatory needs in insurance, working with Product, Underwriting, and Risk teams.
Role type
Senior Data Scientist / Lead Software Engineer
Builds
Production-ready ML models and analytical pipelines for insurance underwriting and risk management
Domain
Insurance, Risk Management, Statistical Modeling
Deliverable
production ML models
Required skills
Statistical modeling, Machine Learning, Python, SQL, GLMs, GBMs, Model evaluation, Data validation, Experiment tracking, Git
Preferred skills
Cloud ML platforms (Vertex AI, SageMaker, Azure ML), Insurance pricing/rating, Bias/fairness testing, Generative AI/LLMs, Regulated modeling environments
Technologies
Python, pandas, NumPy, scikit-learn, SQL, GitHub, MLflow, Vertex AI, SageMaker, Azure ML
Responsibilities
Build and evaluate GLM/GBM models, manage third-party data relationships and vendor support, collaborate with stakeholders to translate results into recommendations, automate analytical processes, monitor model performance and drift, ensure compliance and documentation standards
Seniority
Senior, hands-on IC (4-6 years experience)