Senior FCAS Data Scientist - Pricing & Predictive Analytics

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

Benefits offered by this job

401k match

Tuition assistance

Paid time off

Job summary

American Modern Insurance Group seeks a Principal Data Scientist to lead pricing model strategy for personal lines. You will oversee development, deployment, monitoring, and maintenance of predictive models, working closely with stakeholders and regulators as needed.

The role emphasizes mentoring junior data scientists, driving cross-functional analytics initiatives, and contributing to enterprise predictive capabilities within a hybrid work environment.

Qualifications

• Master’s degree or higher in a quantitative field with relevant actuarial or analytics focus.
• Proven ability to build and validate pricing models and analytics workflows.
• Experience communicating complex analyses to non-technical stakeholders.

Responsibilities

• Lead pricing model strategy for a subset of personal lines products.
• Develop, deploy, monitor, and maintain predictive models.
• Collaborate with stakeholders and manage filing schedules for products.
• Present analytics results to customers and management as needed.
• Mentor junior data scientists and analysts.

Skills

FCAS

R

Python

GLMs

GBMs

Machine learning

Databricks

Agile

Model validation

Project management

Education

Master’s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math with economics or OR double major

Tools

Databricks

Job description

American Modern Insurance Group seeks a Principal Data Scientist to lead pricing model strategy for personal lines. You will oversee development, deployment, monitoring, and maintenance of predictive models, working closely with stakeholders and regulators as needed.

The role emphasizes mentoring junior data scientists, driving cross-functional analytics initiatives, and contributing to enterprise predictive capabilities within a hybrid work environment.