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At Home Data Scientist Risk Jobs in Pennsylvania

Novacore

Data Scientist

Conshohocken, PA · On-site

At Novacore, we're not your average insurance company. We're a team of driven professionals ... PA Home Office. Responsibilities: Underwriting & Risk Analytics * Analyze submission, bind, and ...

Novacore

Data Scientist

Conshohocken, PA · On-site +1

At Novacore, we're not your average insurance company. We're a team of driven professionals ... PA Home Office. Responsibilities: Underwriting & Risk Analytics * Analyze submission, bind, and ...

Sedgwick

Principal Data Scientist

Erie, PA · On-site +1

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact ...

New

Sedgwick

Principal Data Scientist

Pittsburgh, PA · On-site +1

Provide technical guidance to data scientists and analysts across the organization. * Mentor junior ... Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact ...

Cmu

Data Scientist

Pittsburgh, PA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Vangard, Inc.

Data Scientist, Specialist

Malvern, PA · On-site

... and ongoing risk assessment. * Leads and executes deep dive diagnostic, predictive, and ... About Vanguard At Vanguard, we don't just have a mission-we're on a mission. To work for the ...

WebstaurantStore

Sr Data Scientist

Lititz, PA · On-site +1

A dedicated home office space that is noise- and distraction-free. The space should have strong ... Adoption Assistance Available at HQ Locations Only * On-Site Fitness Centers * Dog-friendly Offices

WebstaurantStore

Data Scientist 3

Lititz, PA · On-site +1

$130K - $150K/yr

A dedicated home office space that is noise- and distraction-free. The space should have strong ... Adoption Assistance Available at HQ Locations Only * On-Site Fitness Centers * Dog-friendly Offices

WebstaurantStore

Data Scientist - Marketing

Lititz, PA · On-site +1

A dedicated home office space that is noise- and distraction-free. The space should have strong ... Adoption Assistance Available at HQ Locations Only * On-Site Fitness Centers * Dog-friendly Offices

WebstaurantStore

Data Scientist - Pricing

Lititz, PA · On-site +1

A dedicated home office space that is noise- and distraction-free. The space should have strong ... Adoption Assistance Available at HQ Locations Only * On-Site Fitness Centers * Dog-friendly Offices

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Pennsylvania? The most popular types of Data Scientist Risk jobs in Pennsylvania are:
What are popular job titles related to At Home Data Scientist Risk jobs in Pennsylvania? For At Home Data Scientist Risk jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Pennsylvania look for? The top searched job categories for At Home Data Scientist Risk jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for At Home Data Scientist Risk jobs? Cities in Pennsylvania with the most At Home Data Scientist Risk job openings:
At Home Data Scientist Risk jobs near you
Infographic showing various At Home Data Scientist Risk job openings in Pennsylvania as of May 2026, with employment types broken down into 2% As Needed, 1% Full Time, 85% Part Time, and 12% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

Data Scientist

Novacore

Conshohocken, PA • On-site

Full-time

Posted 27 days ago

Job description

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.
Data ScientistThe Data Scientist will work closely with underwriting, product, operations, and leadership teams and expected to own problems end-to-end. The Data Scientist will operate with a high degree of independence while collaborating closely with cross-functional stakeholders. This role draws on the type of work seen across the broader insurance ecosystem. This role will report to the SVP, Data & AI. This position is ideally hybrid from the Conshohocken, PA Home Office.
Responsibilities:
Underwriting & Risk Analytics
  • Analyze submission, bind, and quote data to identify trends in hit ratio, declination patterns, and appetite alignment.
  • Support pricing analysis and adequacy reviews in collaboration with actuarial resources or carrier partners, using exposure-normalized loss data.

Product & Growth Analytics
  • Partner with product and distribution teams to build funnel analytics, conversion models, and cohort analysis.
  • Develop customer lifetime value (LTV) and retention models to support renewal strategy and identify at-risk accounts before they lapse.
  • Analyze distribution partner performance data to identify growth opportunities, cross-sell potential, and capacity allocation priorities.

Data Engineering & Infrastructure
  • Partner with engineering and IT to build and maintain reliable data pipelines from multiple sources including policy admin systems, claims platforms, and third-party data enrichment providers (e.g., LexisNexis, Verisk, CoreLogic).
  • Ensure data quality, governance, and documentation standards are upheld across all analytical datasets.
  • Contribute to the buildout of a scalable analytics infrastructure, including data warehouse design and BI tooling integration.

Reporting & Stakeholder Communication
  • Design and maintain dashboards and self-service reporting tools that give underwriting, operations, and leadership teams real-time visibility into KPIs.
  • Translate complex quantitative findings into plain-language narratives for non-technical audiences including underwriters, distribution partners, and executive leadership.
  • Prepare regular performance reports for capacity providers and carrier partners, ensuring data accuracy and consistency across all external reporting.
  • Develop self-service reporting tools and dashboards using BI platforms.

Qualifications:
  • 3+ years of experience in a data science, analytics, or quantitative research role - experience in the P&C insurance space (carrier, MGA, broker, or insurtech) strongly preferred.
  • Bachelor's degree in a quantitative discipline (Statistics, Mathematics, Computer Science, Actuarial Science, or Economics); Masters degree is a plus.
  • Strong proficiency in Python and/or R for statistical analysis and model development.
  • Advanced SQL skills and proven ability to work with large, complex relational datasets across multiple source systems.
  • Hands-on experience building and deploying predictive models beyond proof-of-concept - including documentation, monitoring, and stakeholder handoff.
  • Working knowledge of core P&C insurance concepts: premium, loss ratio, combined ratio, and policy lifecycle.

Preferred Qualifications:
  • Prior experience at a P&C Insurance, MGA, program administrator, or insurtech in a data or analytics role - exposure to an MGA-specific data environment (policy admin, bordereaux reporting, capacity provider data requirements) is a meaningful differentiator.
  • Experience building AI/ML-powered features in a production insurance product context, including prompt engineering or LLM integration for document processing or underwriting support.

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