FCAS Actuarial Data Scientist: Pricing Leader (Hybrid)

American Modern Insurance Group; Bloomington (IN); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with company match

Paid time off

Job summary

American Modern Insurance Group seeks a Principal Data Scientist to lead pricing model strategy for a subset of personal lines products. You will develop, deploy, monitor, and maintain predictive models, collaborating with stakeholders and managing filing schedules.

The role emphasizes mentorship of junior data scientists, regulatory filings ownership, and expanding predictive capabilities beyond pricing to enterprise-wide analytics initiatives.

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.
• Master’s degree or higher in a relevant field as listed in Education.

Responsibilities

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Effectively collaborate with stakeholders.
• Manage filing schedules for aligned products.
• Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
• Mentor junior data scientists and team members.

Skills

FCAS

R

Python

GLMs

GBMs

AI/ML

Databricks

Big Data

Agile

Testing

Project Mgmt

Education

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

Tools

Regulatory filings

Modeling workflows

Job description

American Modern Insurance Group seeks a Principal Data Scientist to lead pricing model strategy for a subset of personal lines products. You will develop, deploy, monitor, and maintain predictive models, collaborating with stakeholders and managing filing schedules.

The role emphasizes mentorship of junior data scientists, regulatory filings ownership, and expanding predictive capabilities beyond pricing to enterprise-wide analytics initiatives.