VP, Data Science - Cohort Modeling

Chubb

Chubb

Data Science

Connecticut, USA · Jersey City, NJ, USA · Whitehouse Station, Readington Township, NJ, USA · Philadelphia, PA, USA · New York, NY, USA

USD 163k-237k / year

Posted on May 30, 2026
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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.
Chubb is a world leader in insurance. With operations in 54 countries, 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. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.
  • 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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