Applied Scientist II at Coalition

This role is ideal for a mid-level Data Scientist or ML Engineer with at least 5 years of experience and a strong background in insurance underwriting. You should have a solid grasp of both traditional machine learning (XGBoost, Scikit-learn) and modern GenAI/LLM workflows. A Master's or Ph.D. in a quantitative field is expected, along with the ability to handle messy datasets independently. A standout aspect of this position is the direct business impact; you will be building the core models that determine risk and pricing for cyber insurance. Coalition offers 100% medical coverage, a flexible PTO policy, and home office stipends. While the role lists "on-site," the description mentions a remote-first culture with WeWork access, providing a blend of flexibility and support. **You might be a good fit if you...** * Have at least 1 year of specific experience in insurance underwriting modeling (risk scoring or pricing). * Are proficient in Python and SQL and can manage the full ML lifecycle from data exploration to production monitoring. * Have experimented with GenAI for unstructured data extraction or document understanding. * Thrive in ambiguous environments and can explain complex technical trade-offs to non-technical stakeholders.