Actuarial Data Scientist - Retention Modeling
RemoteNot SpecifiedPredictive Modelling & MLUW Support & Portfolio ManagementBusiness Intelligence & Reporting
Role Summary
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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