About the role
As a 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.
Responsibilities
- 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
- 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
- Deliver analysis that will directly inform the development of automated underwriting systems
- Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements
- Work alongside senior data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition
- Intellectual curiosity and proactive approach to identifying improvement opportunities
- Ability to work effectively with guidance from senior data science team members
Skills and Qualifications
- Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)
- 3-6+ 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
Nice-to-have Skills
- Actuarial qualification
- Experience in cyber insurance or cyber security.
- Prior experience or willingness to learn how to work with large datasets and big data technologies (Snowflake, AWS Athena)
Perks
- 100% medical coverage, including out-patient 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