Data Scientist

London Approach

United States

United States

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About

The Opportunity Seeking a Data Scientist to operate at the intersection of underwriting, product, and business strategy. This role owns problems end-to-end—from data exploration through model development to business adoption. You will work cross-functionally with underwriting, product, operations, and leadership, delivering insights and models that drive pricing, growth, and portfolio performance. Key Responsibilities Underwriting & Risk Analytics Analyze submission, quote, and bind data to uncover trends in hit ratios, declinations, and appetite alignment Support pricing strategy and rate adequacy analysis using exposure-based loss data Partner with actuarial and carrier stakeholders on portfolio performance insights Product & Growth Analytics Build funnel analytics, conversion models, and cohort analyses to support distribution and product strategy Develop LTV, retention, and churn models to inform renewal and growth initiatives Evaluate partner performance to identify cross-sell opportunities and optimize capacity allocation Data & Platform Enablement Collaborate with engineering and IT to develop scalable data pipelines across policy, claims, and third-party data sources Maintain data quality, governance, and documentation standards Contribute to the evolution of the data warehouse and analytics ecosystem Reporting & Insights Delivery Design dashboards and self-service reporting tools to provide real-time visibility into business KPIs Translate complex analyses into clear, actionable insights for non-technical stakeholders Support external reporting to carrier and capacity partners with a focus on accuracy and consistency Qualifications Experience in data science, analytics, or quantitative research Proficiency in Python and/or R for statistical modeling and analysis Advanced SQL skills with experience working across large, complex datasets Track record of deploying models into production environments, including monitoring and documentation Experience building data products that integrate directly into business workflows Nice to Have Competencies Background in P&C insurance (carrier, MGA, broker, or insurtech) strongly preferred Understanding of core insurance concepts (e.g., premium, loss ratio, combined ratio, policy lifecycle) Exposure to AI/ML applications in insurance, including LLMs, document processing, or underwriting automation Experience in MGA or program business environments (bordereaux reporting, policy admin systems, carrier data requirements) What Our Client Offers High-impact, collaborative environment with direct exposure to leadership Competitive compensation and comprehensive benefits Ongoing mentorship and professional development Clear growth trajectory within a scaling organization Team-driven culture with regular social and community engagement Additional Information Employment Type:
Full-Time Location:
Norristown, PA Work Setting:
Hybrid (Onsite 1-2x per week) Compensation Range:
$115,000 - $130,000

United States

Languages

English

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