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Role Summary

Role type

Actuarial data science crossover

Closer to a data science crossover than a conventional pricing partner role because coding, machine learning, deployment, and data engineering are core requirements.

Senior P&C actuarial data science role with American Modern’s Predictive Analytics team in Cincinnati, Ohio, offered in a hybrid environment. You’ll lead pricing model strategy for personal property and other personal lines, develop and monitor GLM/GBM models, support regulatory filings, and mentor junior analysts.

Requirements

Must have

  • FCAS designation required
  • 6+ years of data science/predictive analytics experience in insurance OR 8+ years predictive modeling in another industry
  • Deep understanding of GLMs and GBMs
  • Experience in multiple programming languages, including R and Python
  • No visa sponsorship available

Strongly preferred

  • Master's degree in Business Analytics, Statistics, Computer Science, or related double major
  • Familiarity with AI and machine learning concepts including supervised/unsupervised learning, deep learning, NLP
  • Experience with Databricks or similar big data platforms
  • Strong understanding of data structures, algorithms, and software design patterns
  • Experience working in an agile team environment with Scrum or Kanban
  • Proven experience with project management and prioritization

Skills & Domain

ToolsDatabricks
DomainPersonal lines pricing modelsRegulatory rate filings and objectionsPredictive modeling with GLMs and GBMsBig data platforms like Databricks

Actuarial Data Scientist - FCAS

American Modern Insurance Group

P&C/Insurer/IC Level
American Modern Insurance Group

Actuarial Data Scientist - FCAS

American Modern Insurance Group

Cincinnati, Ohio, United States · Hybrid · Today

Personal Property HomeownersPersonal Other
Salary
$141k - $175kest.
Experience
6+ Years

Job Overview

Salary
Salary not specified
Experience
6+ Years

Acturhire Base Salary Estimate

Typical range
$141k - $175k

25th and 75th percentiles

Confidence
95/100
Supporting jobs
140comparable jobs
Unlock full breakdown with Pro

Ideal Candidate Profile

Ideal for an FCAS-level senior P&C professional with at least six years of insurance predictive analytics experience in personal lines pricing. The strongest fit combines deep GLM/GBM expertise, R and Python programming, sound judgment, and the ability to explain complex models to business and regulatory audiences.

FCAS

Benefits

Bonus Eligible401(k) PlanHigh 401(k) MatchHealth InsuranceDental InsuranceVision Insurance

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