Hybrid Data Scientist — AI/GenAI for Insurance

Munich Reinsurance America, Inc; Lexington (KY); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401k with employer match

Paid time off 24 days/year

On-site amenities

Job summary

American Modern Insurance Group, Inc., a Munich Re company, is building and maintaining predictive AI/ML models across the business. You will collaborate with senior data scientists to deploy, test, and monitor models, ensuring accuracy and regulatory compliance.

You will work within a centralized Data Science team, contributing to model development, data preparation, and stakeholder presentations, while thriving in a hybrid, flexible environment.

Qualifications

• Proficiency in R, Python, SAS, and SQL.
• Experience building and deploying ML models.
• Data wrangling and quality assessment.
• Experience with MLflow, Git, and Azure DevOps.
• Familiarity with CI/CD for ML deployments.

Responsibilities

• Build and deploy AI/ML models with general guidance.
• Collaborate between ML Engineers and Data Science team on deployments and testing.
• Present modeling results to stakeholders and management.
• Develop insights to improve customer satisfaction, policy growth, retention, and profitability.
• Prepare data and identify anomalies with guidance.
• Document assumptions, results, and alternatives clearly.
• Maintain modeling best practices and share new techniques.

Skills

R/Python/SAS

ML/AI modeling

Data wrangling

CI/CD for ML

Git/Azure DevOps

MLflow

Education

Master's degree

Tools

MLflow

Git

Azure DevOps

Job description

American Modern Insurance Group, Inc., a Munich Re company, is building and maintaining predictive AI/ML models across the business. You will collaborate with senior data scientists to deploy, test, and monitor models, ensuring accuracy and regulatory compliance.

You will work within a centralized Data Science team, contributing to model development, data preparation, and stakeholder presentations, while thriving in a hybrid, flexible environment.