Senior FCAS Actuarial Data Scientist – Pricing

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

Benefits offered by this job

Health insurance (PPO/HDHP)

Supplemental Life & AD&D

Voluntary Benefits (Accident, Critical

Hospital Indemnity

Prescription drug coverage

Disability benefits (Short/Long term)

Vision and dental insurance

401k with employer match

Paid time off (24 days/yr)

Bonus opportunities

On-site campus facilities

Tuition assistance

Free parking

Corporate matching gifts

Volunteer time off

Job summary

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal Data Scientist to lead pricing model strategy for personal lines. You will develop, deploy, and monitor predictive models while mentoring junior team members and coordinating with stakeholders and regulators on filings.

The role emphasizes end-to-end model development, governance, and contribution to broader predictive analytics initiatives within a collaborative, hybrid work environment in the United States.

Qualifications

• Requires FCAS with strong pricing model experience.
• Proficient in R and Python for modeling and analysis.
• Solid understanding of GLMs and GBMs for pricing.
• Familiar with AI/ML concepts including supervised/unsupervised learning.
• Experience with big data platforms (Databricks) is a plus.

Responsibilities

• Lead pricing model strategy for personal lines products.
• Develop, deploy, monitor, and maintain predictive models.
• Collaborate with stakeholders and regulators as needed for filings.
• Mentor junior data scientists and analysts.

Skills

FCAS

R

Python

GLMs/GBMs

AI/ML concepts

Databricks

Agile methodologies

Testing and validation

Project management

regulator communications

Education

Master’s degree in Analytics/Statistics/CS

Tools

Databricks

Job description

American Modern Insurance Group, Inc., a Munich Re company, is seeking a Principal Data Scientist to lead pricing model strategy for personal lines. You will develop, deploy, and monitor predictive models while mentoring junior team members and coordinating with stakeholders and regulators on filings.

The role emphasizes end-to-end model development, governance, and contribution to broader predictive analytics initiatives within a collaborative, hybrid work environment in the United States.