{"id":2017743,"url":"https://alion.io/job/novacore-data-scientist-underwriting-analytics","title":"Data Scientist- Underwriting Analytics","company":{"id":3865534,"name":"Nova Core","domain":"novacore.com","url":"https://alion.io/company/novacore-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Conshohocken, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":225000,"period":"year","method":"role_country_seniority_unknown","sample_n":2952},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-13T12:02:46Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"Why join the Novacore team?\nBecause your next stellar chapter starts here - and we’re building something bold and meaningful.\nAt 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.\nWe 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.\nBut at our core, we believe it’s not just what we do - it’s howwe do it and whowe do it with.\nRecognized 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.\nWe offer:\nA collaborative, results-driven environment\n\nCompetitive compensation and comprehensive benefits\n\nYear-round social and community events\n\nOngoing mentorship and professional development\n\nEndless opportunities for upward mobility\n\nSo if you're ready to be part of something extraordinary - with a team that’s transforming commercial insurance - we want to meet you.\nData Scientist- Underwriting AnalyticsNovacore'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. You'll build 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.\nThis 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.\n**This is a hybrid opportunity from the Conshohocken, PA Home Office**\nResponsibilities:\nGuideline Codification & Gap Detection\nTranslate underwriting guidelines for every program, currently spread across PDFs, institutional memory, and individual underwriters' heads, into structured, version-controlled rule sets.\nBuild gap analyses comparing what guidelines say against what's actually being bound, priced, and retained.\nBuilding the Score\nTake 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.\nApply modern data science techniques (predictive modeling, GLMs, gradient boosting, clustering) to build underwriting models and find segmentation opportunities the current rating plan misses.\nLeverage AI tools (LLMs, agentic workflows, Claude) to automate and augment guideline-codification and gap-analysis work.\nPulling the Levers\nTranslate 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.\nPartner directly with your underwriting leaders to socialize findings and get guideline or lever changes adopted, not just documented.\nFeed 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.\nCross-Functional & Infrastructure\nDocument findings and adopted changes so institutional knowledge compounds instead of living in one person's head.\nBuild reusable frameworks and tooling that extend across every program, not one-off analyses.\nPartner with the product team and actuarial team to form a cross functional pod that collectively owns the profitability of assigned programs. You will exist as one team with one voice. Collaboration, partnership and team work are critical to the success of the pod.\n Qualifications:\nStrong grounding in mathematical statistics, actuarial science, and practical insurance/underwriting fundamentals.\nData 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.\nP&C insurance experience, commercial lines and/or MGA/program business preferred.\nStrong SQL and Python, with hands-on GLM / predictive modeling experience applied to underwriting or pricing, not exclusively reserving.\nFamiliarity with modern data tools: version control (Git), cloud platforms, BI tools (Power BI, Tableau), or notebook environments (Jupyter).\nYou already use AI tools in your daily workflow.\nCuriosity about how LLMs and agentic frameworks can automate guideline codification and gap-analysis work.\nWillingness to prototype, experiment, and ship, not just theorize.\nA track record of presenting analytical findings to underwriters and getting them adopted, including handling pushback, across more than one stakeholder relationship at a time.\nComfort operating in ambiguity.\nYou Might Be a Great Fit If...\nYou've built a GLM in Python or R and watched an underwriter actually change a decision because of it, not just admired the fit statistics.\nYou've turned a rate need into an actual guideline or appetite change, not just a slide.\nYou've used an LLM to speed up something tedious (guideline extraction, report drafting) and it changed how you think about your job.\nYou want to build the underwriting decision layer for a cluster of programs, not just run someone else's rating plan.","description_format":"text","description_chars":6179,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Home office","Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Professional Services","Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-10-07T13:14:34Z"}],"visa":[],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":1,"p_active":0.529,"p_room":0.55,"age_days":33,"expected_fill_days":29,"reasons":["conf:18","win:tail"],"computed_at":"2026-10-14T06:34:16Z"},"pay":null,"html_url":"https://alion.io/job/novacore-data-scientist-underwriting-analytics","json_url":"https://alion.io/job/novacore-data-scientist-underwriting-analytics.json","meta":{"generated_at":"2026-10-14T06:51:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8178,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3865534},"rest":"https://alion.io/mcp/rest/get_company?id=3865534"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnovacore-data-scientist-underwriting-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnovacore-data-scientist-underwriting-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnovacore-data-scientist-underwriting-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/novacore-data-scientist-underwriting-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnovacore-data-scientist-underwriting-analytics"}]}