AVP, Data Science, Enterprise AI Platforms

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Data Science

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$191,500.00 - $316,000.00

1

Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As an AVP & Data Scientist, you will lead a team responsible for challenging conventional thinking and communicating insights to executive business and analytics leadership. You will also collaborate with technology partners to drive analytics out to our products in the marketplace, giving Travelers a competitive advantage.

What Will You Do?

• Present analysis, insights, results, and recommendations to executives for decisions.
• Anticipate potential objections and influence executives to adopt a different point of view.
• Take ownership of a portfolio of projects and team of managers and leaders, making recommendations that influence business outcomes.
• Drive teams and leaders to ensure the successful execution of data science strategies.
• Start identifying organizational tension and work to build consensus across the organization.
• Assist in the development of business plans for the portfolio.
• Influence outcomes in the line of business and/or data science community through discussions, presentations, or peer reviews.
• Drive team recruiting, training, and talent assessment efforts.
• Provide guidance and coaching for team members; guide your team to advance their subject matter expertise and to identify future leaders to meet Travelers’ business objectives.
• Support the sharing of knowledge and best practices across the Enterprise.
• Partner across enterprise stakeholders to design benchmarks from real Travelers work, such as underwriting, claims, and coding, and measure frontier models (Claude, OpenAI), TravelersLLM, and fine-tuned models against them.
• Collaborate with platform and line-of-business teams to define when and how workloads move between models as vendors release new versions and retire old ones, including regression testing and cost, latency, and quality trade-offs.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Master's in STEM related field or equivalent.
• 10 or more years of related work experience, including 6 or more years of team leadership experience.
• Industry expertise in modeling/ research/ analytics or actuarial required.
• Industry level knowledge of value creation and business model concepts.
• Regularly interacts with executives and/or major customers using negotiating and/or influencing skills.
• Subject matter expertise in the majority of external software programs.
• Ability to apply emerging statistical procedures to large highly complex work.
• Recognized industry expertise in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.

What is a Must Have?

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus seven years of experience or any suitable and equivalent combination of education and work experience.
• Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
• Additional verification of specific coursework will be required.