Applied Scientist II at Coalition

This role is ideal for a mid-to-senior level Data Scientist with a strong background in insurance underwriting. You should have at least 5 years of experience deploying production-level ML models and a solid grasp of both traditional statistical methods (like XGBoost and regression) and modern GenAI workflows. A master's or PhD in a quantitative field is expected. Coalition offers a remote-first Canadian work environment with a competitive salary ranging from $103k to $144k depending on your province. The benefits package is comprehensive, featuring 100% medical coverage, a home office stipend, and a commitment to transparency—including a 45-day post-interview status update guarantee. **You might be a good fit if you...** * Have at least 1 year of specific experience in insurance risk scoring or pricing models. * Are proficient in Python and SQL, with hands-on experience in LLM prompt engineering or fine-tuning. * Enjoy "end-to-end" ownership, from initial data exploration to production monitoring and MLOps. * Can translate complex modeling trade-offs into clear business insights for non-technical stakeholders.