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Role Summary

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HIGHLIGHTS

Senior P&C actuarial data science role focused on personal lines pricing (auto and homeowners) in Chicago. Lead end-to-end development of GLM and machine learning pricing models, rating plan architecture, and deployment while partnering with Product, Underwriting, and Data Engineering. Mentor junior staff and drive model validation and documentation.

JOB DESCRIPTION SUMMARY

  • Lead pricing model development for personal auto and homeowners
  • Build GLMs, gradient boosting, and other ML models in Python
  • Design rating plans, feature engineering, and data pipelines
  • Own model validation, documentation, and peer review processes
  • Chicago-based senior role mentoring junior actuaries and data scientists

DOMAIN EXPERTISE

  • Personal lines pricing (auto and homeowners)
  • P&C insurance pricing experience
  • GLM and gradient boosting model development
  • Rating plan architecture and deployment

KEY REQUIREMENTS

  • 8+ years in actuarial, data science, ML/AI, or related technical roles
  • 5+ years of experience within the P&C insurance industry
  • Advanced proficiency with GLMs, gradient boosting, and ML methods
  • Strong programming skills in Python and experience with Git
  • Bachelor’s or Master’s degree in a quantitative field

TECH STACK

  • Git_GitHub
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Role Summary

Loading...

HIGHLIGHTS

Senior P&C actuarial data science role focused on personal lines pricing (auto and homeowners) in Chicago. Lead end-to-end development of GLM and machine learning pricing models, rating plan architecture, and deployment while partnering with Product, Underwriting, and Data Engineering. Mentor junior staff and drive model validation and documentation.

JOB DESCRIPTION SUMMARY

  • Lead pricing model development for personal auto and homeowners
  • Build GLMs, gradient boosting, and other ML models in Python
  • Design rating plans, feature engineering, and data pipelines
  • Own model validation, documentation, and peer review processes
  • Chicago-based senior role mentoring junior actuaries and data scientists

DOMAIN EXPERTISE

  • Personal lines pricing (auto and homeowners)
  • P&C insurance pricing experience
  • GLM and gradient boosting model development
  • Rating plan architecture and deployment

KEY REQUIREMENTS

  • 8+ years in actuarial, data science, ML/AI, or related technical roles
  • 5+ years of experience within the P&C insurance industry
  • Advanced proficiency with GLMs, gradient boosting, and ML methods
  • Strong programming skills in Python and experience with Git
  • Bachelor’s or Master’s degree in a quantitative field

TECH STACK

  • Git_GitHub

Job Overview

Salary
$170k - $200k
Years of Experience
8+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for a senior P&C actuarial data scientist with 5+ years in personal lines pricing who excels in Python-based GLM and ML modelling; ACAS/FCAS a plus.

Benefits

Mentorship ProgramTraining BudgetLeadership Exposure
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

Job Overview

Salary
$170k - $200k
Years of Experience
8+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Ideal for a senior P&C actuarial data scientist with 5+ years in personal lines pricing who excels in Python-based GLM and ML modelling; ACAS/FCAS a plus.

Benefits

Mentorship ProgramTraining BudgetLeadership Exposure
Fresh Role
Premium Window
0d
Posted Today

Strategy: Maximize Application Quality

Applications submitted within 72 hours are 2x more likely to land an interview.

"Recruiters are actively watching. Take time to tailor your keywords."

P&C/Insurer/IC Level
PURE Insurance

Lead Actuarial Data Scientist

PURE Insurance•Chicago, Illinois, United States•2h ago
Personal AutoPersonal Property HomeownersPricing & RatingPredictive Modelling & MLData Engineering

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