Principal Data Scientist
Core
Principal Data Scientist applying Generative AI, machine learning, and predictive modeling to solve complex insurance challenges in pricing, underwriting, claims, and fraud detection.
Role type
Principal Data Scientist (Senior IC with strategic leadership)
Builds
Scalable ML workflows, predictive models, ETL pipelines, and data products for the insurance industry
Domain
Insurance / Risk Assessment / Financial Services
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, R, Azure ML Flow, Apache Spark, distributed computing, SQL, data processing (Avro, Parquet, JSON, XML), MLOps, model governance, explainability, ethical AI
Preferred skills
Insurance domain expertise (pricing, underwriting, claims, fraud), cloud architecture, mentoring, technical strategy
Technologies
Azure ML, Azure storage, Databricks, Linux, Git, BI tools
Responsibilities
Explore and adapt Generative AI/ML solutions from US colleagues for local business; build predictive models for claim frequency and severity with embedding layers; design and deploy ETL pipelines and statistical models; support cloud migration and align analytics infrastructure with long-term goals; mentor team members and drive technical excellence; collaborate with cross-functional teams to define project requirements and execution plans.
Seniority
Principal, hands-on IC with strategic leadership