Senior FCAS Data Scientist — Pricing Strategy Leader

American Modern Insurance Group; Cincinnati (OH); Hybrid; USD 140,000 - 220,000; Full time

Benefits offered by this job

Health insurance PPO/HDHP

Life and AD&D plans

Voluntary benefit plans

Prescription drug coverage

Disability insurance

Vision and dental insurance

401(k) with 5% match

Company-funded retirement plan

Paid time off 24 days per year

Yearly bonus eligibility

Wellness programs

Hybrid work environment

On-site cafeteria

Fitness facility and walking trails

On-site wellness center

Job summary

American Modern Insurance Group, a Munich Re company, is seeking a Principal Data Scientist to lead pricing model strategy for personal lines pricing. You will develop and deploy predictive models, monitor performance, and collaborate with stakeholders across the organization.

The role emphasizes ownership of regulatory filings, mentorship of junior data scientists, and cross-functional influence beyond pricing to broader analytics initiatives within a hybrid work environment.

Qualifications

• FCAS required.
• Proficiency in R and Python.
• Deep understanding of GLMs and GBMs.

Responsibilities

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Collaborate with stakeholders and manage filing schedules.

Skills

FCAS

R

Python

GLMs

GBMs

AI/ML

Databricks

Data structures

Agile

Scrum/Kanban

Model validation

Project management

Education

Master's in Analytics/Statistics/CS

Tools

N/A

Job description

American Modern Insurance Group, a Munich Re company, is seeking a Principal Data Scientist to lead pricing model strategy for personal lines pricing. You will develop and deploy predictive models, monitor performance, and collaborate with stakeholders across the organization.

The role emphasizes ownership of regulatory filings, mentorship of junior data scientists, and cross-functional influence beyond pricing to broader analytics initiatives within a hybrid work environment.