Senior Data Scientist
Core
Measuring, understanding, and optimizing underwriting for a cyber insurance provider to improve risk selection, pricing, and automation.
Role type
Senior IC data scientist (cyber insurance underwriting)
Builds
Risk signals, statistical and machine learning models for underwriting and pricing, dashboards for operational metrics
Domain
Insurance / Cybersecurity
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical analysis, machine learning, SQL, Python or R, data visualization, dashboard creation, cross-functional collaboration, mentorship
Preferred skills
Actuarial qualification, cyber insurance or cybersecurity experience, big data technologies (Snowflake, AWS Athena)
Technologies
SQL, Python, R, Tableau, Power BI, Looker, Snowflake, AWS Athena
Responsibilities
Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights; Develop and refine statistical and machine learning models to assess cybersecurity risks with applications to underwriting and pricing; Create comprehensive reports on underwriting efficiency metrics and risk selection quality to inform strategic decisions; Identify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategies; Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements; Serve as both a technical lead and a mentor within the underwriting team.
Seniority
Senior, hands-on IC with mentorship responsibilities