VP, Data Science - Cohort Modeling
Chubb Open · verified Oct 24, 2026 At a glance
VP-level Data Science role at Chubb. Jersey City · full-time · $163,000–$237,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Lead teams building predictive models that support underwriting, pricing and portfolio management
- Improve AI-supported pricing workflows and frameworks for commercial insurance
- Coach analytics staff across modeling disciplines, raising the quality of their work
- Work with actuarial, underwriting, product and technology partners on analytics initiatives
- Check that analytics work follows regulatory, privacy and internal requirements
What you bring
- An advanced degree in data science, actuarial science, statistics, mathematics or a related discipline
- Extensive insurance experience spanning modeling, pricing and actuarial analysis
- A substantial track record leading analytics, actuarial or pricing teams
- Expert command of machine learning, statistical analysis and commercial insurance products
Who this fits
This VP role suits an experienced insurance analytics leader who can guide teams and advise senior stakeholders on modeling priorities. It is based in Jersey City, United States, and reports to the SVP of Cohort Modeling.
From the employer
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.
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