Senior Software Engineer/Data Scientist
Core
Build and evaluate statistical and machine learning models (GLMs, GBMs) for insurance analytics, focusing on model stability, performance, and actionable business recommendations.
Role type
Senior IC machine-learning engineer (insurance analytics)
Builds
Production ML models and analytical dashboards for insurance coverage and pricing
Domain
Insurance / Statistical Modeling
Deliverable
production ML models
Required skills
GLMs, GBMs, Python (pandas, NumPy, scikit-learn), SQL, statistical modeling, model evaluation, overfitting diagnosis, version control (Git), experiment tracking (MLflow), data validation, drift detection
Preferred skills
Cloud platforms (Vertex AI, SageMaker, Azure ML), regulated modeling environments, insurance pricing/segmentation, bias/fairness testing, generative AI/LLM concepts
Technologies
Python, pandas, NumPy, scikit-learn, SQL, Git, MLflow, Vertex AI, SageMaker, Azure ML
Responsibilities
Build and evaluate models using GLMs and GBMs; manage third-party data relationships and validate data quality; collaborate with stakeholders to translate results into recommendations; contribute to process automation and monitoring metrics; maintain compliance and privacy standards in modeling
Seniority
Senior, hands-on IC