[Hiring] Senior Data Scientist @Coalition, Inc.

Role Description As a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue in a safe and efficient manner. • Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights. • Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations. • 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. • Apply statistical techniques to evaluate and improve our cyber risk assessment methodology. • Provide analytical support for underwriting strategies to balance growth with risk management. • 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. Lead cross-functional initiatives in area of expertise. • Serve as both a technical lead and a mentor within the underwriting team. • Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunities. Qualifications • Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline). • 5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industry. • Knowledge of underwriting, pricing, reserving, or risk management processes in insurance. • Advanced SQL skills for querying complex databases and joining disparate data sources. • Expertise in data manipulation and analysis using Python, R, or similar analytical tools. • Experience with data visualization tools (e.g., Tableau, Power BI, Looker). • Experience with dashboard creation for operational metrics tracking. • Strong communication and analytical skills. • Capable of working with remote teams. Requirements • Actuarial qualification (nice-to-have). • Experience in cyber insurance or cyber security (nice-to-have). • Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena) (nice-to-have). Benefits • 100% medical coverage, including outpatient care. • Life insurance. • 25+ paid holidays. • Annual home office stipend. • 7% employer pension contribution. • Mental and physical health wellness programs like Headspace, Wellhub. • Competitive compensation and opportunity for advancement.

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