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We are looking for a Senior Data Scientist to join AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.
In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.
What You'll Do:
– Own open-ended research directions end-to-end – from a vague business question to a deployed, validated signal.
– Work across the team's core research areas – risk modeling, environmental and catastrophe modeling, and behavioral modeling – translating complex real-world processes
into reliable predictive signal.
– Deeply investigate existing production models – understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
– Design approaches from first principles when off-the-shelf methods don't fit the data.
– Build rigorous evaluations and own the result in production, not just the notebook.
– Document research clearly so findings are reproducible, auditable, and compound over time.