About usCoalition 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 roleAs 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. ResponsibilitiesAnalyze diverse datasets including claims data, cybersecurity risk signals,



and underwriting databases to extract meaningful patterns and insightsLarge scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizationsDevelop 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 decisionsApply statistical techniques to evaluate and improve our cyber risk assessment methodologyProvide analytical support for underwriting strategies to balance growth with risk managementIdentify, analyze, and implement opportunities to automate underwriting workflows using advanced analytics and data-driven strategiesCollaborate 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 underwrit

📌 Senior Data Scientist (España)
🏢 Coalition
📍 España