Senior Insurance Data Scientist

About us Coalition is the world's first Active Insurance provider designed to help prevent digital risk before it strikes. Founded in 2017, Coalition combines comprehensive insurance coverage and innovative cybersecurity tools to help businesses manage and mitigate potential cyberattacks. Opportunities to make an impact with bold thinking are real—and happening daily at Coalition. About the role The Senior Insurance Data Scientist will lead analytic and modeling initiatives that power Coalition’s cyber underwriting, pricing, and automation capabilities. They will transform complex insurance, cyber risk, and external signals into robust risk scores, insights, and tools that help underwriters grow profitably and safely. Sitting within the Underwriting Intelligence team, this role bridges actuarial, product, engineering, and underwriting to drive data-driven risk selection and workflow automation at scale. Responsibilities Analyze diverse datasets (claims, cybersecurity risk signals, underwriting data, external firmographics) to uncover patterns that improve cyber risk selection and pricing. Conduct large-scale data analysis to design and validate high-value risk signals used in underwriting and risk evaluation. Develop, calibrate, and maintain statistical and machine learning models to assess cybersecurity risk with direct applications to underwriting, pricing, and portfolio management. Build clear reports, dashboards, and monitoring to track underwriting efficiency, automation rates, and risk selection quality, and communicate insights to technical and non-technical stakeholders. Apply statistical techniques to evaluate and refine Coalition’s cyber risk assessment methodology, including backtesting and performance monitoring. Provide analytical support and scenario analysis to help underwriting leadership balance growth, loss ratio, and automation. Identify and implement opportunities to automate underwriting workflows using advanced analytics, risk signals, and data products. Partner closely with actuarial, product, engineering, and underwriting to design, ship, and iterate on data-driven improvements; lead cross-functional initiatives in areas of expertise. Serve as a technical lead and mentor within the underwriting data science space, helping raise the bar for analytic rigor, documentation, and reproducibility. Contribute to and help develop agentic tools and decision-support capabilities within the underwriting workbench, especially for large market cyber accounts. Skills and Qualifications Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related). 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry, ideally with cyber or specialty lines. Strong understanding of insurance underwriting, pricing, reserving, or risk management processes. Advanced SQL skills for querying complex, large-scale databases and joining disparate data sources. Expertise in data manipulation and analysis using Python, R, or similar tools (Python preferred for production collaboration). Experience with data visualization and BI tools (e.g., Tableau, Power BI, Looker) and building dashboards for operational and underwriting metrics. Proven ability to communicate complex analytical concepts to both technical and non-technical stakeholders, verbally and in writing. Comfortable collaborating with globally distributed and remote teams. Demonstrated experience leading projects or initiatives, mentoring peers, or acting as a technical lead. Perks 100% public healthcare coverage 20 paid holidays (statutory minimum) Annual home office stipend Statutory pension (The employee and employer contribution % depends on the annual salary and the employee's age.) Mental physical health wellness programs Competitive compensation and opportunity for advancement Why Coalition? Work at Coalition is centered on the joint missi ... (truncated, view full listing at source)