Data Scientist- Underwriting Analytics

Why join the Novacore team? Because your next stellar chapter starts here - and we're building something bold and meaningful. At Novacore, we're not your average insurance company. We're a team of driven professionals passionate about redefining the specialty insurance experience for our agents, carrier partners - and for each other. We specialize in tailored solutions for niche industries, powered by advanced analytics, modern technology and a culture of innovation.

Backed by strong leadership and strategic growth initiatives, Novacore is poised to scale and lead in the specialty insurance market. But at our core, we believe it's not just what we do - it's how we do it and who we do it with. Recognized as a top workplace, Novacore is a place where ambition is supported, growth is continuous and culture matters.

From day one, you'll find mentorship, hands‑on learning and clear paths for advancement. You'll grow your skills, expand your expertise and become even more exceptional - because when you succeed, we all do.

We offer:

• A collaborative, results-driven environment
• Competitive compensation and comprehensive benefits
• Year‑round social and community events
• Ongoing mentorship and professional development
• Endless opportunities for upward mobility

So if you're ready to be part of something extraordinary - with a team that's transforming commercial insurance - we want to meet you.

Novacore's actuarial team owns the number: they set each program's loss cost, rate need, and target loss ratio. This role owns what happens next.

This role owns what happens next. The model that distributes the actuarial loss cost across real risk characteristics (building class, occupancy, TIV, geography, and beyond) and then design the underwriting levers that let the business hit that target loss ratio while staying competitive: guideline gates, segmentation cuts, terms, and recommendations to actuarial on new risk factors to consider for pricing. You're not setting program profitability.

Actuarial does that. You're finding creative, defensible ways to make the program more profitable within it. This isn't a pricing‑actuary role, and it isn't a reporting/BI role either. It's a hybrid that sits between actuarial output and underwriting action: part pricing analytics, part underwriting partnership, built to own a cluster of programs rather than one at a time.

This is a hybrid opportunity from the Conshohocken, PA Home Office

• Guideline Codification & Gap Detection 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. Apply modern data science techniques (predictive modeling, GLMs, gradient boosting, clustering) to build underwriting models and find segmentation opportunities the current rating plan misses. Leverage AI tools (LLMs, agentic workflows, Claude) to automate and augment guideline‑codification and gap‑analysis work.
• Pulling the Levers 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…