Hiring: Data Scientist- Underwriting Analytics Company: Novacore Location: Conshohocken, PA Job Posted Time: 2026-09-12 10:21:46 Employment Type: Hybrid Target Skills & Keywords : Git, Jupyter, LLM, Python, SQL About the job Required Skills: •Translate underwriting guidelines for every program, currently spread across PDFs, institutional memory, and individual underwriters' heads, into structured, version-controlled rule sets. •Build gap analyses comparing what guidelines say against what's actually being bound, priced, and retained. •Building the Score •Take the actuarial team's loss cost and target loss ratio for a program and partner with actuarial to build underwriting models that allow program underwriters to find the best quality risks. •Leverage AI tools (LLMs, agentic workflows, Claude) to automate and augment guideline-codification and gap-analysis work. •Translate the underwriting models into clear underwriting action: eligibility gates, class-level appetite, terms (limits, exclusions, deductibles, endorsements), and pricing flexibility (within approved actuarial guidelines) that hit the target loss ratio while staying competitive. •Partner directly with your underwriting leaders to socialize findings and get guideline or lever changes adopted, not just documented. •Feed adopted changes and their measured impact back into the actuarial team's next loss pick. This is a two-way loop, not a one-way handoff: you don't override the actuarial number; you make sure underwriting can act on it. Qualifications: •Strong grounding in mathematical statistics, actuarial science, and practical insurance/underwriting fundamentals. •Data science, Actuarial or actuarial-adjacent background (2+ actuarial exams passed, or an equivalent quantitative pricing credential). You'll work constantly with actuarial output, but this is not an actuarial pricing seat. •P&C insurance experience, commercial lines and/or MGA/program business preferred. •Strong SQL and Python, with hands-on GLM / predictive modeling experience applied to underwriting or pricing, not exclusively reserving. •Operational familiarity with modern data tools: version control (Git), cloud platforms, BI tools (Power BI, Tableau), or notebook environments (Jupyter). •You already use AI tools in your daily workflow. •Curiosity about how LLMs and agentic frameworks can automate guideline codification and gap-analysis work. •Willingness to prototype, experiment, and ship, not just theorize. •A track record of presenting analytical findings to underwriters and getting them adopted, including handling pushback, across more than one stakeholder relationship at a time. •You Might Be a Great Fit If... Compensation: •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!