Data Scientist, Insurance
2 weeks ago
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. About The Role 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 and help us understand and improve our cyber risk selection and reduction, pricing, and automation to grow revenue safely and efficiently. Responsibilities Analyze diverse datasets—including claims data, cybersecurity risk signals, and underwriting databases—to extract meaningful patterns and insights. Conduct large‑scale data analysis to produce valuable risk signals 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 your area of expertise. Serve as both a technical lead and mentor within the underwriting intelligence team. Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition, bringing an intellectual curiosity and proactive approach to identifying improvement opportunities. Skills & Qualifications Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline). 2+ 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. Expertise in data manipulation and analysis using SQL and Python, or similar analytical tools. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Experience with development and monitoring of insurance models. Experience with dashboard creation for operational metrics tracking. Strong communication and analytical skills. Interest in learning how to work on cybersecurity datasets using big data technologies (Snowflake, AWS Athena). Capable of working with remote teams. Bonus Points Actuarial qualification. Experience in cyber insurance or cyber security. Prior experience working with large datasets and big data technologies. Perks 100% medical, dental, and vision coverage. Flexible PTO. 14 weeks paid maternity leave and 8 weeks paid paternity leave. Annual home‑office stipend and WeWork access. Mental and physical health wellness programs (e.g., Headspace, Lumino). Competitive compensation and opportunity for advancement. Why Coalition? Work at Coalition is centered on the joint mission to protect the unprotected. We have built a remote‑first, highly inclusive culture that welcomes people from diverse backgrounds. We trust each other to take responsibility, share ownership of outcomes, and put in the work together to protect businesses from digital risk. Coalition’s exceptional growth stems from its ability to address real‑world problems for organizations of all sizes while remaining true to our founding values of character, humility, responsibility, purpose, authenticity, and inclusion. Anti-Discrimination Notice Coalition is proud to be an Equal Opportunity employer. Our policy is to provide equal employment opportunities to all individuals, without discrimination or harassment on the basis of any characteristic protected by applicable laws in each country where we operate. This commitment includes, but is not limited to, ensuring equal treatment in recruitment, selection, training, promotion, transfer, compensation, and all other aspects of employment. Coalition does not tolerate discrimination or harassment of any kind, and we are dedicated to fostering an inclusive and supportive workplace. Safe Hiring Notice All legitimate communication from Coalition comes from @coalitioninc.com emails, and open roles are listed only on our Careers page. We never ask for payment, banking details, or personal identification before an offer is accepted through our secure systems. If you believe you’ve been a victim of fraudulent recruiting, follow guidance from the Federal Trade Commission (FTC). Privacy Notice Coalition is committed to protecting your privacy and handling your personal information responsibly. We collect, use, and store personal information as necessary for the recruitment process and in compliance with applicable privacy laws and regulations in all regions where we operate. Information submitted, collected, and processed as part of your application is subject to Coalition's Privacy Policy. For further details, please review our full Privacy Policy or contact us with any questions regarding how your information is handled. Recruitment Agency Notice Coalition does not accept unsolicited agency resumes. Do not forward resumes to our email alias, employees, or other physical or virtual organization locations. Coalition is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr
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Data Scientist, Insurance
2 weeks ago
Any location, Canada Coalition Full time $120,000 - $180,000 per yearAbout the role 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...
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