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Vice President F1 Data Science Jobs (NOW HIRING)

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 ...

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 ...

VP, Data Science

  • Medical

  • Dental

  • Retirement

The VP of Data Science & Analytics will lead experimentation, business intelligence, and advanced analytics across our global two-sided marketplace. This role is accountable for driving measurable ...

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

Master's degree (e.g., MBA, MS Data Science, MS Health Informatics) preferred. Licensure ... P Data & Analytics, Chief Analytics Officer, Chief AI Officer) with progressive leadership ...

VP, Modeling & Data Science

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

About the Role Happen Bank's Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role ...

VP of Data and AI

$251K - $346K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This leader will build and manage world-class Data Engineering, Data Science, Data Analytics, AI ... VP) managing large, diverse technical teams. * Proven experience defining and executing a ...

VP, Data Engineering

San Francisco, CA · On-site

$212K - $273K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

VP, Data Engineering

San Francisco, CA

$212K - $273K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

VP of Data and AI

Charleston, WV · Remote

$251K - $346K/yr

This leader will build and manage world-class Data Engineering, Data Science, Data Analytics, AI ... As a full-time VP of Data and AI, you will be employed by Lyra Health, Inc. The anticipated annual ...

VP, Data Engineering

Los Angeles, CA

$194K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

VP, Data Engineering

Los Angeles, CA · On-site

$194K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other ...

Showing results 21-40

Vice President F1 Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do vice president f1 data science jobs pay per year?

As of Aug 13, 2026, the average yearly pay for vice president f1 data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a vice president F1 data science do?

A Vice President of F1 Data Science leads the data analytics and strategy efforts for a Formula 1 team or organization. They oversee the collection, analysis, and interpretation of massive datasets from car sensors, race simulations, and competitor analysis to inform race strategies and improve performance. This executive collaborates with engineers, strategists, and management to make data-driven decisions that can provide a competitive edge. Additionally, they are responsible for managing data science teams, setting departmental goals, and ensuring that advanced technologies like machine learning are effectively integrated into F1 operations.

What are the key skills and qualifications needed to thrive as a vice president F1 data science?

To excel as a Vice President F1 Data Science, you need extensive expertise in data analytics, statistical modeling, machine learning, and a strong educational background in data science, mathematics, or a related field. Familiarity with advanced analytics tools (like Python, R, SQL), big data platforms, and experience with motorsport telemetry or similar high-frequency data systems are essential. Strategic leadership, strong communication, and the ability to drive cross-functional collaboration set outstanding candidates apart. These skills empower effective data-driven decision-making, optimizing team performance and maintaining a competitive edge in the fast-paced Formula 1 environment.

How does a vice president F1 data science typically collaborate with technical and non-technical teams within a racing organization?

A Vice President of F1 Data Science plays a pivotal role in bridging the gap between data scientists, engineers, and business leaders. They work closely with technical teams to set data analysis strategies, oversee model development, and ensure accurate insights drive race strategy and car performance. On the non-technical side, they translate complex data findings into actionable recommendations for management and other stakeholders, ensuring alignment with broader organizational goals. This requires excellent communication skills and the ability to foster cross-functional collaboration to maximize the team's competitive advantage.

What is the difference between Vice President F1 Data Science vs Data Science Director?

AspectVice President F1 Data ScienceData Science Director
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting data science vision for F1Managing data science projects, leading teams, implementing strategies within an organization
Required CredentialsAdvanced degrees in data science, analytics, or related fields; extensive experience in F1 or motorsport analyticsMaster's or PhD in data science, statistics, or related fields; significant industry experience
Work EnvironmentExecutive-level, cross-functional collaboration, high-pressure F1 environmentTeam management, project execution, collaboration with stakeholders

The Vice President F1 Data Science focuses on strategic leadership and high-level decision-making within the F1 industry, while the Data Science Director manages day-to-day project execution and team operations. Both roles require advanced credentials and industry experience, but the VP role emphasizes vision and strategy, whereas the Director role centers on project management and technical execution.

What cities are hiring for Vice President F1 Data Science jobs? Cities with the most Vice President F1 Data Science job openings:
What are the most commonly searched types of F1 Data Science jobs? The most popular types of F1 Data Science jobs are:
What states have the most Vice President F1 Data Science jobs? States with the most job openings for Vice President F1 Data Science jobs include:

VP, Data Science - Cohort Modeling

Chubb

Jersey City, NJ • On-site

$163K - $237K/yr

Full-time

Re-posted 15 days ago


Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

141st of 306 rated insurance


Job description

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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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. 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. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US