Role Summary

HIGHLIGHTS

Director-level data science role leading Personal Insurance actuarial modeling (personal auto and homeowners) in Hartford, CT. You will own predictive model development, deployment, governance, and mentor a team of data scientists and actuaries. The role focuses on ML/statistical modeling in Python/R, integration with ratemaking, and building scalable model workflows.

JOB DESCRIPTION SUMMARY

Lead personal insurance predictive modeling (personal auto, and optionally homeowners)
Manage a team of data scientists and actuaries in the Actuarial Strategic Modeling team
Develop and deploy frequency, severity, and loss-cost ML models in Python/R
Hybrid role with expectation of 3 days/week in office (Tue–Thu) in hub locations
Director-level role with management responsibility and strategic influence

DOMAIN EXPERTISE

Personal auto predictive modeling
Homeowners predictive modeling (optional based on background)
End-to-end modeling lifecycle management
Experience building ML/statistical models for frequency and severity
Experience with SQL and cloud platforms (Snowflake, SageMaker)

KEY REQUIREMENTS

Prior management experience leading analytics or modeling teams
Expertise in statistical modeling and machine learning in Python and/or R
Experience across the end-to-end modeling lifecycle, including validation and monitoring
Experience with SQL and cloud-native environments (e.g., Snowflake, SageMaker)

TECH STACK

Snowflake

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Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Lead personal insurance predictive modeling (personal auto, and optionally homeowners)
Manage a team of data scientists and actuaries in the Actuarial Strategic Modeling team
Develop and deploy frequency, severity, and loss-cost ML models in Python/R
Hybrid role with expectation of 3 days/week in office (Tue–Thu) in hub locations
Director-level role with management responsibility and strategic influence

DOMAIN EXPERTISE

Personal auto predictive modeling
Homeowners predictive modeling (optional based on background)
End-to-end modeling lifecycle management
Experience building ML/statistical models for frequency and severity
Experience with SQL and cloud platforms (Snowflake, SageMaker)

KEY REQUIREMENTS

Prior management experience leading analytics or modeling teams
Expertise in statistical modeling and machine learning in Python and/or R
Experience across the end-to-end modeling lifecycle, including validation and monitoring
Experience with SQL and cloud-native environments (e.g., Snowflake, SageMaker)

TECH STACK

Snowflake

Role Summary

HIGHLIGHTS

JOB DESCRIPTION SUMMARY

Lead personal insurance predictive modeling (personal auto, and optionally homeowners)
Manage a team of data scientists and actuaries in the Actuarial Strategic Modeling team
Develop and deploy frequency, severity, and loss-cost ML models in Python/R
Hybrid role with expectation of 3 days/week in office (Tue–Thu) in hub locations
Director-level role with management responsibility and strategic influence

DOMAIN EXPERTISE

Personal auto predictive modeling
Homeowners predictive modeling (optional based on background)
End-to-end modeling lifecycle management
Experience building ML/statistical models for frequency and severity
Experience with SQL and cloud platforms (Snowflake, SageMaker)

KEY REQUIREMENTS

Prior management experience leading analytics or modeling teams
Expertise in statistical modeling and machine learning in Python and/or R
Experience across the end-to-end modeling lifecycle, including validation and monitoring
Experience with SQL and cloud-native environments (e.g., Snowflake, SageMaker)