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Role Summary

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HIGHLIGHTS

Director-level data science role at a P&C insurer leading Workers' Compensation predictive and pricing models. You will manage a team of data scientists and actuaries, drive ML model development and deployment, and partner with underwriting, product, and data engineering. Hybrid role based in Hartford, CT (3 days/week) with responsibility for models covering a large premium portfolio.

JOB DESCRIPTION SUMMARY

  • Lead Workers' Compensation predictive models for frequency, severity, and loss cost
  • Manage and mentor a team of data scientists and actuaries
  • Develop and deploy ML models in Python/R with SQL and cloud tools
  • Hybrid schedule — 3 days/week in office (Tue–Thu); offices include Hartford, CT
  • Director-level role; 8+ years analytical experience recommended

DOMAIN EXPERTISE

  • Workers' Compensation predictive modeling and pricing
  • End-to-end modeling lifecycle: development, validation, monitoring
  • Machine learning model development in Python/R
  • SQL and cloud-native model deployment (Snowflake, SageMaker)

KEY REQUIREMENTS

  • Prior management experience leading analytics or modeling teams
  • Experience owning Workers' Compensation predictive/pricing models
  • Expertise building ML models in Python and/or R
  • Experience with SQL and cloud-native environments (e.g., Snowflake, SageMaker)
  • Authorized to work in the US without company sponsorship

TECH STACK

  • Snowflake
  • Other_BI_Tool
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Role Summary

Loading...

HIGHLIGHTS

Director-level data science role at a P&C insurer leading Workers' Compensation predictive and pricing models. You will manage a team of data scientists and actuaries, drive ML model development and deployment, and partner with underwriting, product, and data engineering. Hybrid role based in Hartford, CT (3 days/week) with responsibility for models covering a large premium portfolio.

JOB DESCRIPTION SUMMARY

  • Lead Workers' Compensation predictive models for frequency, severity, and loss cost
  • Manage and mentor a team of data scientists and actuaries
  • Develop and deploy ML models in Python/R with SQL and cloud tools
  • Hybrid schedule — 3 days/week in office (Tue–Thu); offices include Hartford, CT
  • Director-level role; 8+ years analytical experience recommended

DOMAIN EXPERTISE

  • Workers' Compensation predictive modeling and pricing
  • End-to-end modeling lifecycle: development, validation, monitoring
  • Machine learning model development in Python/R
  • SQL and cloud-native model deployment (Snowflake, SageMaker)

KEY REQUIREMENTS

  • Prior management experience leading analytics or modeling teams
  • Experience owning Workers' Compensation predictive/pricing models
  • Expertise building ML models in Python and/or R
  • Experience with SQL and cloud-native environments (e.g., Snowflake, SageMaker)
  • Authorized to work in the US without company sponsorship

TECH STACK

  • Snowflake
  • Other_BI_Tool

Job Overview

Salary
$153k - $230k
Years of Experience
8+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Director-level P&C data science leader with Workers' Compensation modeling experience, strong ML skills in Python/R, and prior people management experience.

Benefits

Annual BonusEquity/Stock OptionsHybrid Work
Shortlist Forming
Closing Soon
41d
41 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

Job Overview

Salary
$153k - $230k
Years of Experience
8+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

Director-level P&C data science leader with Workers' Compensation modeling experience, strong ML skills in Python/R, and prior people management experience.

Benefits

Annual BonusEquity/Stock OptionsHybrid Work
Shortlist Forming
Closing Soon
41d
41 days ago

Strategy: Speed over Perfection

By Day 21, visibility drops significantly. Recruiters are focusing on existing candidates.

"Don't wait for a cover letter. The requisition could close tomorrow. Apply now."

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