Lead Data Scientist

You desire impactful work.

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

The Lead Data Scientist at RGA is a dynamic, forward-thinking innovator who serves as both a technical authority and visionary leader in our Americas Data Solutions team. In this pivotal role, you will harness cutting-edge predictive modeling techniques and first-class data assets to tackle complex challenges unique to the global reinsurance sector, directly impacting RGA’s mission of making financial protection accessible and reliable.

As a trusted architect of transformational solutions, you will spearhead cross-functional initiatives, set the standard for technical excellence, and collaborate closely with RGA’s senior leadership to shape and execute a data science strategy that drives business growth and redefines what’s possible for our clients and partners worldwide.

• Strategic Solution Architecture:
  Spearhead the end-to-end design and architecture of sophisticated predictive models tailored to address the unique challenges and opportunities in the reinsurance sector. This includes leading statistical modeling initiatives and integrating these solutions into critical business functions like pricing, risk assessment, claims analytics, and customer engagement. Ensure that model architectures are robust, secure, and optimized for both performance and interpretability, while aligning with RGA’s strategic objectives and compliance requirements.
• Technical Leadership & Mentorship:
  Provide hands‑on technical leadership by setting high standards for analytical rigor and solution quality. Mentor and coach both senior and junior data scientists and actuaries, offering guidance on advanced modeling techniques, code review, and project management best practices. Foster a collaborative and innovative team environment that encourages knowledge sharing, continuous learning, and the adoption of new tools and methodologies. Lead technical deep‑dives and problem‑solving sessions to address the most complex analytical challenges faced by the team.
• Cross‑Functional Leadership:
  Oversee and coordinate large‑scale, cross‑functional projects that require collaboration across diverse groups such as Actuarial, Underwriting, IT, Legal, and Operations. Develop and maintain project plans, set clear deliverables, and facilitate effective communication among stakeholders to ensure alignment on project goals and timelines. Proactively identify and resolve conflicts or bottlenecks, ensuring that projects are executed efficiently and deliver measurable business impact.
• Innovation & Strategy:
  Act as a catalyst for innovation by proactively scouting, evaluating, and piloting emerging modeling techniques and technologies relevant to the reinsurance industry. Lead the identification of new use cases, prototype novel solutions, and conduct feasibility studies. Recommend and implement best practices for integrating advanced analytics into business processes, and contribute to the development and ongoing refinement of the data science team’s strategic roadmap.
  
  Share insights and learnings through presentations, white papers, and thought leadership within and beyond the organization.
• Governance & Best Practices:
  Develop, document, and enforce best practices for data analysis, model development, and model governance. This includes establishing protocols for model validation, monitoring, versioning, and lifecycle management, as well as ensuring compliance with ethical standards and regulatory requirements. Oversee the creation and maintenance of comprehensive technical documentation to support transparency, reproducibility, and knowledge transfer across the team and organization.
• Senior Stakeholder Management:
  Build and maintain strong…