Senior Data Scientist - Customer Experience GenAI

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

$146,400.00 - $241,600.001Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As a Manager & Sr. Data Scientist, you will build sophisticated models that solve important business problems and enhance our customer experience. This may include the use of generative AI and other artificial intelligence techniques to analyze imagery, text, and other unstructured data. You will design, build, and evaluate Generative AI solutions, including reusable tools, skills, and agents, that accelerate adoption and transform how teams work across Customer Experience. You will employ storytelling using data to communicate insights and findings to stakeholders. This role may manage others.

What Will You Do?

• Manage portions of business or technical projects focused on the design or development of analytical and Generative AI solutions.
• Share expertise with the community through discussions, presentations, or peer reviews
• Set and manage expectations with business partners for small projects, and with limited guidance, identify potential conflicts and build consensus.
• Design, build, and evaluate reusable GenAI tools, skills, agents, and workflows; rapidly prototype emerging AI capabilities and move successful experiments toward scalable, production-ready solutions.
• Support the rollout and enablement of approved AI tools through technical guidance, experimentation, training, office hours, and hands-on partnership with users.
• Communicate analysis, insights, and results to team, peers, and business partners, and with guidance, tailor communication to the audience.
• Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and support recruiting and talent assessment efforts.
• Support various training and skill development initiatives.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Master's in STEM related field or equivalent.
• 5 years of related experience.
• Advanced working knowledge of modeling/GenAI/research/ analytics or actuarial required.
• GenAI fundamentals including prompt design, tool use and agents, RAG pipelines, fine-tuning vs. retrieval tradeoffs, hallucination mitigation, and grounding/attribution.
• Strong grasp of value creation and business model concepts.
• Advanced knowledge of multiple statistical software programs.
• Ability to develop advanced models and interpret model results.
• Application of advanced statistics underlying data models.
• Ability to develop emerging statistical procedures to work.
• Advanced knowledge in 2-3 of the following: GenAI, Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.

Skills:

• Adaptability
• Presentations
• Influencing Skills
• Peer Reviewing
• Decision Making
• Coaching
• Business Intelligence (BI)
• Strategic Thinking
• Predictive Modeling
• Generative AI
• Technical Communication
• Lifelong Learning
• Data Analysis
• Critical Thinking
• Problem Solving
• Data Storytelling

What is a Must Have?

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus three years of experience, or Ph.D in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus zero 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.