Reinsurance Group of America, Incorporated · 9 hours ago
Lead Data Scientist
Chesterfield, MO
Full-time
Onsite
Lead/Staff
8+ years expReinsurance Group of America, Incorporated is a Fortune 200 Company focused on life- and health-related solutions. The Lead Data Scientist will serve as a technical authority and visionary leader, leveraging predictive modeling techniques to address complex challenges in the reinsurance sector and drive business growth.
Financial ServicesHealth InsuranceInsuranceLife InsuranceService Industry
Responsibilities
Spearhead the end-to-end design and architecture of sophisticated predictive models tailored to address the unique challenges and opportunities in the reinsurance sector
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
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
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
Develop, document, and enforce best practices for data analysis, model development, and model governance
Establish 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
Build and maintain strong partnerships with senior business leaders to understand strategic priorities, identify and prioritize high-impact analytical opportunities, and drive the adoption of data-driven solutions
Communicate complex technical concepts in clear, actionable terms tailored to both technical and non-technical audiences
Lead negotiations and change management efforts to overcome resistance and ensure successful implementation and value realization of new data science initiatives
Apply deep subject matter expertise in life and health reinsurance—including domains such as mortality, morbidity, underwriting, and claims—to inform the design and interpretation of predictive models
Qualification
Required
Master's or Ph.D. in Data Science, Computer Science, Statistics, Actuarial Science, Mathematics, or a related quantitative field
8+ years of experience in data science with demonstrated expertise in leading complex predictive modeling and AI projects
Strong background in life/health insurance, reinsurance, or a related financial services domain
Quantitative Skills Possesses expert-level knowledge in a wide range of statistical modeling techniques, including regression analysis, classification, clustering, time series forecasting, and survival analysis
Technical Skills Exhibits deep, hands-on expertise in programming languages such as Python and R for data analysis, machine learning, and automation. Highly proficient in SQL for complex data extraction, transformation, and loading (ETL) processes
Problem-Solving Demonstrated ability to approach highly complex and ambiguous problems with creativity and rigor. Skilled at framing business challenges as analytical questions, designing innovative solutions that may lack existing precedent, and validating approaches through experimentation and stakeholder feedback. Adept at balancing technical feasibility with business impact to deliver actionable insights
Communication & Negotiation Exceptional written and verbal communication skills, with the ability to distill complex technical concepts into clear, compelling narratives for both technical and non-technical audiences. Experienced in presenting findings to senior leadership, influencing decision-making, and negotiating with external partners to drive alignment and adoption of data-driven strategies. Skilled at facilitating cross-functional discussions and overcoming resistance to change
Leadership Demonstrated success in leading and inspiring cross-functional teams of data scientists, engineers, actuaries, and business stakeholders. Adept at managing projects from initial concept through to production deployment, ensuring alignment with organizational goals and timelines. Committed to mentoring and developing junior data scientist actuaries, fostering a collaborative and innovative team environment
Business Acumen Strong understanding of reinsurance treaty structures, risk assessment, and underwriting processes, with the ability to apply actuarial concepts to inform data science solutions. Experienced in quantifying and articulating the business value of analytics initiatives, translating technical outputs into actionable business recommendations that drive profitability and operational efficiency
Preferred
Actuarial credentials (ASA, FSA) or significant progress toward designation
Publications or presentations in relevant data science or industry conferences
Actuarial Skills Possesses expert-level knowledge of traditional actuarial analysis, including multivariate analysis, experience studies, pricing, and valuation. Strong ability to apply advanced analytics techniques to traditional actuarial problems
Experience working with Databricks, Snowflake, and AWS tech stacks
Experience working with large longitudinal datasets using actuarial methods of analysis
Experience working with data visualizations tools, such as Power BI, Sigma, Tableau
Demonstrated ability to deploy scalable models in cloud environments such as AWS, Azure, and Databricks, including the use of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for robust production deployments
Benefits
Annual bonus plan
Participation in our long-term equity incentive plan
Full range of health, retirement, and other employee benefits
Company
Reinsurance Group of America, Incorporated
Reinsurance Group of America, Incorporated (NYSE: RGA) is a global industry leader specializing in life and health reinsurance and financial solutions that help clients effectively manage risk and optimize capital.
1001-5000 employees
H1B Sponsorship
Reinsurance Group of America, Incorporated has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (43)
2024 (46)
2023 (41)
2022 (34)
2021 (34)
2020 (26)
Funding
Current Stage
Public CompanyTotal Funding
$1.35B2025-02-26Post Ipo Debt· $700M
2024-05-08Post Ipo Debt· $650M
2008-12-18IPO
Leadership Team
Axel Andre
Chief Financial Officer
Jeffrey Hopson
SVP - Investor Relations
Recent News
2026-01-22
2026-01-11
2025-12-22
Company data provided by crunchbase