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Role Summary

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HIGHLIGHTS

Associate-level actuarial data scientist role (P&C) focused on retention modeling and predictive analytics. You will build and validate machine learning models, prepare large data sets, and create dashboards to support underwriting, claims, and marketing. This individual contributor role is remote across the United States and requires strong Python/R/SQL skills and insurance experience.

JOB DESCRIPTION SUMMARY

  • Build and validate retention and predictive models using ML techniques
  • Work with UW, Claims, Marketing and product teams to implement analytics
  • Prepare and transform large structured and unstructured data sources
  • Create monitoring reports, dashboards, and stakeholder presentations
  • Remote role (US) ideal for associate-level candidates with 2+ years’ experience

DOMAIN EXPERTISE

  • Data mining and statistical analysis
  • Predictive modeling and model validation
  • SQL and Python/R/SAS programming
  • Experience in insurance or financial services

KEY REQUIREMENTS

  • 2+ years of data mining and statistical analysis experience
  • 2+ years experience with SQL and statistical software (Python, R, SAS)
  • 1+ year experience working as a data scientist or similar role
  • 1+ year experience in insurance or financial services
  • Bachelor’s degree (master’s or ACAS/FCAS preferred)

TECH STACK

  • Excel
  • PowerPoint
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Role Summary

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HIGHLIGHTS

Associate-level actuarial data scientist role (P&C) focused on retention modeling and predictive analytics. You will build and validate machine learning models, prepare large data sets, and create dashboards to support underwriting, claims, and marketing. This individual contributor role is remote across the United States and requires strong Python/R/SQL skills and insurance experience.

JOB DESCRIPTION SUMMARY

  • Build and validate retention and predictive models using ML techniques
  • Work with UW, Claims, Marketing and product teams to implement analytics
  • Prepare and transform large structured and unstructured data sources
  • Create monitoring reports, dashboards, and stakeholder presentations
  • Remote role (US) ideal for associate-level candidates with 2+ years’ experience

DOMAIN EXPERTISE

  • Data mining and statistical analysis
  • Predictive modeling and model validation
  • SQL and Python/R/SAS programming
  • Experience in insurance or financial services

KEY REQUIREMENTS

  • 2+ years of data mining and statistical analysis experience
  • 2+ years experience with SQL and statistical software (Python, R, SAS)
  • 1+ year experience working as a data scientist or similar role
  • 1+ year experience in insurance or financial services
  • Bachelor’s degree (master’s or ACAS/FCAS preferred)

TECH STACK

  • Excel
  • PowerPoint

Job Overview

Salary
$101k - $204k
Years of Experience
2+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An associate-level actuarial data scientist with 2+ years in data mining and 1+ year in insurance, skilled in Python/SQL and ML, who enjoys building retention models and partnering with underwriting and marketing.

Benefits

Remote FirstAnnual BonusHealth InsuranceDental InsuranceVision Insurance401(k) PlanTuition ReimbursementTraining BudgetWellness ProgramPaid Sick Leave
Shortlist Forming
Closing Soon
32d
32 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
$101k - $204k
Years of Experience
2+ Years
Work Type
Permanent
Full Time

Ideal Candidate Profile

An associate-level actuarial data scientist with 2+ years in data mining and 1+ year in insurance, skilled in Python/SQL and ML, who enjoys building retention models and partnering with underwriting and marketing.

Benefits

Remote FirstAnnual BonusHealth InsuranceDental InsuranceVision Insurance401(k) PlanTuition ReimbursementTraining BudgetWellness ProgramPaid Sick Leave
Shortlist Forming
Closing Soon
32d
32 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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