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

London Approach AI Jobs

Latest AI Jobs at London Approach

Data Scientist