Data Scientist

Chesterfield, MO

Full-time

Remote

$87K/yr - $131K/yr

Entry, Mid Level

Reinsurance Group of America, Incorporated (NYSE: RGA) is a global industry leader specializing in life and health reinsurance and financial solutions. The Data Scientist will develop and implement predictive modeling and AI solutions for commercial applications, ensuring data quality and communicating key findings to senior management and stakeholders.

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Responsibilities

Modeling Develop and enhance statistical models and AI solutions for applications to the insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc. for use internally or externally. Provide internal and external clients with an expert review on vendor and/or client-generated models.
Commercial Applications Understand clients’ objectives and develop commercial applications of predictive models for use in underwriting, claims, risk management and/or financial projections.
Data Understanding Leverage in-depth knowledge of the insurance industry and its data to carry out a comprehensive data analysis, from the development of statistical analysis plans and design of the database schema, through data cleansing and into the creation of new insights and applications.
Subject Matter Expertise / Client Contact Provide subject matter expertise in the insurance application of predictive modeling and advanced data analytics. Expand knowledge of insurance products, markets, processes and challenges.
Collaboration / Communication Collaborate with and provide technical expertise to business units for predictive modeling and other ongoing projects using strong verbal and oral communication skills.
Actively participate in other research-related initiatives.
Maintain regular and predictable attendance.
Perform other duties as required.

Qualification

Required

Bachelor’s degree in Math, Statistics, Computer Science, Finance, Economics, Bioinformatics or related field
2+ years developing predictive and AI models for insurance, health or related applications (GLM, Decision Trees, Time Series, Regression, Deep Learning, LLMs, etc.)
Advanced computing skills, including programing languages R and/or Python, spreadsheets and database applications (Excel, SQL, Tableau, or comparable technologies), version tracking (e.g. GitHub), and cloud services (e.g. AWS, Snowflake).
Proficiency developing and implementing machine learning algorithms, including supervised and unsupervised learning techniques
Proficiency with statistical modeling, predictive analytics, and building scalable data pipelines for large datasets
Advanced knowledge in econometrics, statistics, math, computer science, and/or computational finance.
Advanced knowledge of Generative AI and LLMs (ex. ChatGPT, Bedrock, etc.)
Investigative, analytical and problem-solving skills
Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions
Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives
Strong oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well received
Strong oral and written communication skills to present complex findings to both technical and non-technical stakeholders
Strong ability to handle multiple projects simultaneously
Takes initiative and is accountable
Ability to translate business needs and problems into viable/accepted solutions
Ability to work well both independently and in a team environment.
Ability to resolve conflicts and foster teamwork

Preferred

Master’s degree or PhD in Math, Statistics, Computer Science, Business, Finance, Economics, Bioinformatics or related field
3+ years of experience with predictive and AI models for insurance or health related applications (GLM, Decision Trees, Time Series, Regression, Deep Learning, LLMs, etc.)
Proficiency in both Python and R programming languages
Experience developing dashboards via R Shiny, Dash, Tableau, etc.
Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines
Knowledge of actuarial concepts including mortality, morbidity, and persistency studies
Knowledge of life, health, and/or annuity products
Knowledge of life insurance underwriting
Knowledge of insurance risk analysis.
Experience in computational finance and econometrics
Willingness to travel domestically and internationally

Benefit

Annual bonus plan
Long-term equity incentive plan
Full range of health, retirement, and other employee benefits

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.

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