Senior Data Scientist

Overview

As a Senior Data Scientist, you will measure, understand, and optimize Coalition’s underwriting through data-driven insights and advanced analytics. You will build models to assess cyber risk for underwriting and pricing, and you will lead cross-functional analytics initiatives to improve risk selection and automation. This role combines actuarial, product, and engineering inputs to grow revenue safely. You will mentor teammates and help scale data-driven decision making across the underwriting function.

Pay / Benefits

• 100% medical coverage
• Life insurance
• 25+ paid holidays
• Annual home office stipend
• 7% employer pension contribution
• Mental and physical health wellness programs

Responsibilities

• Analyze diverse datasets (claims, risk signals, underwriting data) to extract meaningful patterns for underwriting
• Perform large-scale data analysis to produce risk signals for underwriting and risk evaluation
• Develop and refine statistical and ML models for cybersecurity risk assessment in underwriting and pricing
• Create reports on underwriting efficiency and risk selection quality to inform strategy
• Apply statistics to improve cyber risk assessment methodology
• Support underwriting strategies to balance growth with risk management
• Identify and implement opportunities to automate underwriting workflows using advanced analytics
• Collaborate with actuarial, product, and engineering teams to drive data-driven improvements; lead cross-functional initiatives
• Serve as technical lead and mentor within the underwriting team
• Collaborate with data scientists, software engineers, and cyber security engineers to improve underwriting

Key requirements

• Bachelor’s degree in a quantitative field
• 5+ years in underwriting, quantitative analysis, or risk modeling in insurance
• Knowledge of underwriting, pricing, reserving, or risk management in insurance
• Advanced SQL for querying complex databases
• Proficiency in Python, R, or similar tools
• Experience with data visualization tools (Tableau, Power BI, Looker)
• Experience creating dashboards for operational metrics
• Strong communication and analytical skills
• Ability to work with remote teams

• strong communication
• analytical mindset
• collaboration
• SQL
• Python or R
• data visualization tools (Tableau, Power BI, Looker)

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