Pricing Leader: FCAS Actuarial Data Scientist

Next Insurance, Inc.; Maryland; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health insurance

401k match

Paid time off

On-site gym

On-site cafeteria

Job summary

American Modern Insurance Group, Inc. is seeking a Principal Data Scientist to lead pricing model strategy for personal lines pricing. You will develop, deploy, and monitor predictive models, provide insights to stakeholders, and mentor junior data scientists.

The role emphasizes strong technical expertise and collaboration with regulatory filings. The position offers a hybrid work environment across locations in the US, with opportunities to influence enterprise predictive analytics initiatives

Qualifications

• FCAS required.
• 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 in Business Analytics, Statistics, Computer Science, or related.

Responsibilities

• Lead pricing model strategy for a subset of products.
• Develop, deploy, monitor, and maintain predictive models.
• Mentor junior data scientists and team members.
• Communicate results to business partners and regulators as needed.
• Document assumptions, results, and alternatives for stakeholders.

Skills

FCAS

R & Python

GLMs & GBMs

AI & ML

Databricks

Data structures

Agile

Testing & validation

Project management

Education

Master's degree in Business Analytics, Statistics, Computer Science, or related

Tools

Databricks

Job description

American Modern Insurance Group, Inc. is seeking a Principal Data Scientist to lead pricing model strategy for personal lines pricing. You will develop, deploy, and monitor predictive models, provide insights to stakeholders, and mentor junior data scientists.

The role emphasizes strong technical expertise and collaboration with regulatory filings. The position offers a hybrid work environment across locations in the US, with opportunities to influence enterprise predictive analytics initiatives