SVP, Data Science

ChubbBoston, MA
$249,000 - $333,000

About The Position

North America Insurance is Chubb’s largest division comprising commercial and consumer P&C insurance businesses in the United States, Canada, and Bermuda. The successful candidate is a seasoned leader with expertise data science and model development and management. This position will be primarily responsible for personal lines product such as Homeowners and Auto. Although pricing will be a heavy focus, this position will also work with other forms of models, e.g. underwriting models, customer segmentation, lifetime value, customer journey, and operational analytics. As part of the North America Data & Analytics leadership team and Head of Data Science for PRS, working collaboratively with business unit leaders to achieve ambitious business plans through talent development and placement. drive adoption, change, and increase the level of insight and intelligence available to the product team, UWs, and others. The successful candidate is a seasoned leader with deep expertise in data science, model development, and management. This role is primarily responsible for advancing Personal Lines products, including Homeowners and Auto. Functional capabilities of the position encompass work owning and driving successful completion of underwriting models, customer segmentation, lifetime value, customer journey analytics, and as well helping to shepherd the deployment of AI technologies. Reporting lines are to the Executive Vice President, Data and Analytics, N.A. and to the EVP, PRS Finance Product and Analytics Officer. 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.

Requirements

  • Seasoned leader with expertise data science and model development and management
  • Primarily responsible for personal lines product such as Homeowners and Auto
  • Work owning and driving successful completion of underwriting models, customer segmentation, lifetime value, customer journey analytics
  • Shepherd the deployment of AI technologies

Responsibilities

  • Collaborate with business partners to design end-to-end processes that solve business challenges
  • Lead a team of Data Engineers and Data Scientists to execute analytical projects and communicate results to senior leaders, with a focus on PRS
  • Coach and mentor junior and senior Data Scientists on technical skills and career development
  • Serve as a thought leader and strategy lead for the Data Science discipline within PRS
  • Shape hiring, retention, and placement strategies for Personal Lines data scientists
  • Advise on upskilling, tools, and platforms for the PRS data science workforce
  • Provide thought leadership on data modeling and modeling techniques
  • Enable expanded modeling capabilities and variable exploration within the PRS ecosystem
  • Enhance customer, distribution, and digital intelligence
  • Deepen insights aligned with strategic plan objectives
  • Expand customer lifetime value analytics
  • Utilize AI and third-party data to optimize the Valuables business
  • Improve insured-to-value insights and modeling
  • Support PRS opportunity geography insights and strategy
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