Data Scientist - E07
$109,900–$140,000 year
RemoteUnited States
Job Summary
Design and automate predictive models that run regularly against updated life insurance experience data to detect emerging trends in mortality, lapse, and in-force dynamics. Build systems that continuously learn from data to generate automated reporting, narrative explanations, and decision support for stakeholders across Product Performance, Underwriting, and Operations. Partner with IT to deploy ML solutions into the existing Horizon Underwriting architecture and collaborate with the Experience Study team on special projects. This hands-on role focuses on creating continuous modeling capabilities rather than one-off models, utilizing experimental design to validate hypotheses and ensuring Actuarially sound solutions that achieve mortality and profitability targets.
Required Qualifications
- Graduate degree (Masters or PhD) in a quantitative discipline, especially Mathematics/Statistics/Data Science/Actuarial Science
- Experience of 2+ years for Master degree holders (1+ years for PhD holders) experience solving challenging data science problems in a business environment
- Basic understanding of life insurance and underwriting
- Expert in statistical data analysis and modeling
- Expert in machine learning techniques and algorithms
- Accomplished in analyzing large, complex, multi-dimensional datasets
- Accomplished in use of statistical analysis environments, especially Python
- Experience with BI/visualization tools, especially Tableau (or similar)
- Familiarity with cloud computing environments
- Ability to use SQL to query, merge, and transform data to support complex modeling needs
- Ability to use Microsoft Office
- Basic understanding of and familiarity with behavioral economics
- Good communication and presentation skills, both written and oral
- Strong organization and documentation skills
- Self starting with internal motivation and initiative
- Clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness
Desired Qualifications
- Completion of any actuarial exams is a plus, but not required
- R also helpful
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