The Vice President, Data Scientist will serve on Chubb's Global Analytics Risk Cohorts team, bringing advanced expertise in pricing modeling, product development, rating architecture, and model implementation for commercial insurance. This position will report to the SVP, Cohort Modeling, and play a pivotal leadership role in developing analytics-driven solutions that improve risk assessment and support regional and global business growth. This role is critical in advancing Chubb’s analytical and modeling capabilities, driving precision in pricing and pricing sophistication to support Chubb’s long-term profitability and market leadership
Key Responsibilities
- Lead teams developing predictive models for underwriting, pricing, and portfolio management.
- Enhance and implement AI-enabled pricing processes and pricing frameworks for commercial insurance.
- Mentor and guide analytics staff across modeling disciplines, driving innovation and quality outcomes.
- Collaborate regularly with cross-functional partners (actuarial, underwriting, product, and technology).
- Ensure analytics solutions comply with regulatory, data privacy, and internal standards.
- Report directly to the SVP, Cohorts Modeling, advising them on strategic analytics and modeling initiatives.
- Experience leading business engagements and influencing senior stakeholders.
- Advanced degree in data science, actuarial science, statistics, mathematics, or related field.
- Deep professional experience in insurance, including modeling, pricing, and actuarial analysis.
- Significant leadership history managing analytics, actuarial, or pricing teams.
- Expert level proficiency in machine learning, statistical analysis, and commercial insurance product knowledge.
Desired Skills
- Strong communication skills, able to present findings to technical and executive audiences.
- Demonstrated capability to translate data-driven insights into business strategies.
- Proven record of driving analytics innovation in an insurance enterprise.
The pay range for the role is $163,000 to $237,000. The specific offer will depend on an applicant’s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.
About UsSkills Required
- Advanced degree in data science, actuarial science, statistics, mathematics, or related field
- Deep professional experience in insurance, including modeling, pricing, and actuarial analysis
- Significant leadership history managing analytics, actuarial, or pricing teams
- Expert level proficiency in machine learning and statistical analysis
What We Do
Chubb is the world’s largest publicly traded property and casualty insurance company. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. As an underwriting company, we assess, assume and manage risk with insight and discipline. We service and pay our claims fairly and promptly. The company is also defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb maintains executive offices in Zurich, New York, London, Paris and other locations, and employs 31,000 people worldwide. Additional information can be found at: chubb.com.
