Actuarial Data Science Lead
Actuarial Data Science Lead
Salary Range: $190,000-$210,000
A fast-growing, technology-driven commercial insurance platform focused on transforming how complex risks are evaluated, priced, and managed is hiring an Actuarial Data Science Lead. By combining underwriting expertise, advanced analytics, and automation, the organization is building modern insurance solutions that deliver faster decisions, more accurate pricing, and stronger risk outcomes. This company is backed by leading investors and industry partners to help shape the commercial risk management industry.
Responsibilities:
- Lead the development and optimization of predictive pricing models for commercial auto insurance.
- Build data pipelines and engineered features from claims, submission, and third-party data sources.
- Partner with underwriting, actuarial, and engineering teams to improve pricing accuracy and portfolio performance.
- Monitor model performance, validate results, and identify opportunities for continuous improvement.
- Present insights and recommendations to both technical and business stakeholders.
Qualifications:
- 7+ years of experience developing insurance pricing models within personal auto or commercial lines.
- ACAS or FCAS designation with strong actuarial pricing expertise.
- Advanced knowledge of predictive modeling techniques, including GLMs and machine learning methods.
- Proficiency in Python and SQL, with experience analyzing complex insurance data sets.
- Strong communication skills and a proven ability to lead cross-functional projects.
Benefits
- Fertility and family-building support benefits.
- Unlimited PTO policy.
- Daily catered lunches, dinners, and stocked office snacks.
- Dog-friendly office environment.
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