GenAI & AI-Driven Data Scientist (Insurance)

Munich RE; Fishers (IN); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

401k with company match

Paid time off

On-site cafeteria

Wellness programs

Job summary

American Modern Insurance Group, a Munich Re company, is seeking a Data Scientist to lead AI/ML initiatives across domains, collaborating with senior data scientists to deploy models and monitor performance. You will test and validate models, work with ML Engineers on deployment, and translate complex analytics for business stakeholders.

The role emphasizes building scalable modeling practices, driving insights for policy growth and profitability, and contributing to a hybrid, collaborative data

Qualifications

• Master's degree in Business Analytics, Statistics, Computer Science, or related fields.
• 2+ years of data science/predictive analytics experience in (re)insurance or 4+ years in another industry.
• Experience building and deploying statistical and ML models for business use cases.
• Familiarity with CI/CD pipelines and model deployment processes.

Responsibilities

• Build and deploy AI/ML models with general guidance.
• Coordinate model deployments between ML Engineers and Data Science teams.
• Present modeling results to stakeholders and management.
• Solve loosely defined problems with creative analytics approaches.
• Prepare data and identify anomalies under guidance and document assumptions.

Skills

R

Python

SAS

SQL

General programming

Education

Master's degree in Analytics/Statistics/CS

Tools

MLflow

Git

Azure DevOps

Job description

American Modern Insurance Group, a Munich Re company, is seeking a Data Scientist to lead AI/ML initiatives across domains, collaborating with senior data scientists to deploy models and monitor performance. You will test and validate models, work with ML Engineers on deployment, and translate complex analytics for business stakeholders.

The role emphasizes building scalable modeling practices, driving insights for policy growth and profitability, and contributing to a hybrid, collaborative data