Senior Data Scientist

Role Description

The Senior Data Scientist at RGA plays a pivotal role in building and shipping to production advanced machine learning (ML) and generative AI (GenAI) solutions that drive innovation in the insurance and reinsurance industry. Leveraging deep technical expertise, this leader independently architects, implements, and operates in production sophisticated analytical models to solve high-impact business challenges, powering RGA’s data-driven transformation.

• Collaborates closely with business and actuarial stakeholders to translate complex risk and market insights into deployed, monitored solutions.
• Mentors emerging talent and ensures RGA remains at the forefront of predictive analytics and competitive advantage.

Responsibilities

• Ship GenAI/agent systems to production, leading the end-to-end development, implementation, and deployment of generative AI and agentic solutions.
• Design, develop, and deploy ML models for mission-critical problems, including underwriting automation, pricing optimization, and claims analytics.
• Own the deployed lifecycle of solutions: CI/CD, versioning, monitoring, evaluation, and retraining.
• Build and maintain robust, automated data pipelines and ETL in partnership with data engineering.
• Serve as a technical authority and force multiplier: conduct code reviews, set production-quality standards, mentor junior data scientists.
• Lead and manage small-scale projects, defining scope and objectives, developing project plans, and coordinating activities across cross-functional teams.
• Translate complex analytical results into clear, actionable insights for business leaders and senior management.
• Champion and enforce rigorous model governance practices by conducting thorough model validation, ongoing monitoring, and comprehensive documentation.

Qualifications

• Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field; or a Bachelor's with equivalent experience.
• 5–7 years of progressive data science and machine learning experience.
• Demonstrated ownership of at least one GenAI or ML system that the candidate personally took to production and operated.
• Hands-on experience building, fine-tuning, and deploying GenAI technologies, including large language models (LLMs) and tool-using agents.
• Real experience with CI/CD for models, containers, version control, monitoring, and automated retraining.
• Demonstrates a deep understanding of advanced statistical techniques and applies a broad range of machine learning algorithms.
• Possesses advanced proficiency in Python and/or R, leveraging these languages for data manipulation, statistical modeling, and deployment of machine learning solutions.
• Expertise in using SQL for querying, transforming, and aggregating data from relational databases.
• Exhibits excellent problem-solving skills, approaching challenges creatively and analytically.
• Effectively communicates difficult or sensitive information to diverse stakeholders.
• Serves as a force multiplier for the team by mentoring junior members and sharing best practices in data science.
• Demonstrates a strong understanding of key business drivers, market dynamics, and organizational priorities.

Preferred

• Ph.D. in a related quantitative field.
• Experience in the life/health insurance or reinsurance industry.
• Experience working with Databricks, Snowflake, and AWS tech stacks.
• Experience working with large longitudinal datasets using actuarial methods.

Benefits

• Gain valuable knowledge from and experience with diverse, caring colleagues around the world.
• Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.
• Join the bright and creative minds of RGA, and experience vast, endless career potential.

Compensation Range

$126,710.00 - $188,840.00 Annual. Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.