Data Scientist

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

• 4+ years of professional 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
• Background in P&C insurance (carrier, MGA, broker, or insurtech)
• 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