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Role Summary

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HIGHLIGHTS

Senior data scientist role supporting a pet insurance carrier in Chicago. You will design data pipelines, build predictive pricing and retention models (GLMs and ML), and produce dashboards to inform pricing and segmentation across the actuarial department. Requires senior-level technical modeling and stakeholder communication.

JOB DESCRIPTION SUMMARY

  • Design data pipelines and ensure data quality for insurance analytics
  • Develop rating plans and predictive pricing models (GLMs, ML)
  • Build dashboards in Power BI and Radar to monitor rate and retention
  • Senior IC role supporting the actuarial department in Chicago
  • Requires 5+ years data science experience; Python/R/SQL and Snowflake/Databricks

DOMAIN EXPERTISE

  • predictive modeling and rating plan development
  • GLMs and advanced statistical techniques
  • SQL Server, Snowflake or Databricks experience
  • Power BI and WTW Radar suite experience

KEY REQUIREMENTS

  • 5+ years of experience in a data science role
  • Proficiency in Python, R, and SQL
  • Experience with GLMs and advanced statistical/ML techniques
  • Experience with SQL Server or Snowflake/Databricks and WTW Radar
  • Bachelor’s degree in a related quantitative field (required)

TECH STACK

  • Power_BI
  • Tableau
  • Snowflake
  • Databricks
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Role Summary

Loading...

HIGHLIGHTS

Senior data scientist role supporting a pet insurance carrier in Chicago. You will design data pipelines, build predictive pricing and retention models (GLMs and ML), and produce dashboards to inform pricing and segmentation across the actuarial department. Requires senior-level technical modeling and stakeholder communication.

JOB DESCRIPTION SUMMARY

  • Design data pipelines and ensure data quality for insurance analytics
  • Develop rating plans and predictive pricing models (GLMs, ML)
  • Build dashboards in Power BI and Radar to monitor rate and retention
  • Senior IC role supporting the actuarial department in Chicago
  • Requires 5+ years data science experience; Python/R/SQL and Snowflake/Databricks

DOMAIN EXPERTISE

  • predictive modeling and rating plan development
  • GLMs and advanced statistical techniques
  • SQL Server, Snowflake or Databricks experience
  • Power BI and WTW Radar suite experience

KEY REQUIREMENTS

  • 5+ years of experience in a data science role
  • Proficiency in Python, R, and SQL
  • Experience with GLMs and advanced statistical/ML techniques
  • Experience with SQL Server or Snowflake/Databricks and WTW Radar
  • Bachelor’s degree in a related quantitative field (required)

TECH STACK

  • Power_BI
  • Tableau
  • Snowflake
  • Databricks

Job Overview

Salary
Salary not specified
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

A senior data scientist with 5+ years (preferably insurance) experience who builds GLM and ML-based pricing models, is fluent in Python/R/SQL, and can partner with actuarial stakeholders to operationalize models.

Benefits

Health InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term DisabilityPaid Parental LeaveHSA/FSA Available401(k) PlanPaid Time OffCommuter Benefits
Shortlist Forming
Closing Soon
73d
73 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
Salary not specified
Years of Experience
5+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

A senior data scientist with 5+ years (preferably insurance) experience who builds GLM and ML-based pricing models, is fluent in Python/R/SQL, and can partner with actuarial stakeholders to operationalize models.

Benefits

Health InsuranceDental InsuranceVision InsuranceLife InsuranceShort/Long Term DisabilityPaid Parental LeaveHSA/FSA Available401(k) PlanPaid Time OffCommuter Benefits
Shortlist Forming
Closing Soon
73d
73 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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