Senior Data Scientist – Actuarial Science (Insurance)

About the role

Join the Insurance Analytics team at LexisNexis Risk Solutions to design and develop predictive models that directly influence underwriting, pricing, and risk decisions for commercial insurers. This senior position blends actuarial expertise with advanced statistical modeling to create external‑facing risk models used at scale.

Key responsibilities

• Develop predictive risk models and attributes that feed into insurer underwriting, segmentation, and decision‑making workflows.
• Apply actuarial principles and statistical techniques to assess risk and continuously improve model performance.
• Design and implement models that integrate seamlessly with carrier underwriting processes and downstream pricing frameworks.
• Translate complex analytical outputs into clear, defensible insights for business and product stakeholders.

Required profile

• Actuarial professional with a strong foundation in actuarial science.
• Experience building predictive models for insurance or related risk domains.
• Ability to work on large‑scale data problems and influence business decisions.

Required skills

What we offer

• Opportunity to work on cutting‑edge risk analytics within a leading insurance data provider.
• Collaboration with cross‑functional product and vertical teams.
• Impactful work that shapes underwriting and pricing strategies across the industry.