Senior FCAS Data Scientist - Pricing & Predictive Analytics

Munich Reinsurance America, Inc; Evansville (IN); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Dental insurance

Life insurance

Paid time off

Long term disability

Tuition assistance

401(k)

On-site cafeteria

Wellness programs

Job summary

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal Data Scientist to lead end-to-end pricing model development for personal lines and related predictive analytics initiatives. The role blends technical leadership with regulatory responsibilities and collaboration across stakeholders.

You will mentor junior data scientists, drive model quality, and contribute to enterprise analytics strategies while working in a hybrid, nationwide environment

Qualifications

• Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry.
• Experience in multiple programming languages, including R and Python.

Responsibilities

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Mentor junior data scientists and team members.
• Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.

Skills

FCAS

R

Python

GLMs

GBMs

AI/ML concepts

Scrum/Kanban

Model validation

Project management

Education

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major

Tools

Databricks

Job description

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal Data Scientist to lead end-to-end pricing model development for personal lines and related predictive analytics initiatives. The role blends technical leadership with regulatory responsibilities and collaboration across stakeholders.

You will mentor junior data scientists, drive model quality, and contribute to enterprise analytics strategies while working in a hybrid, nationwide environment