Job description

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. Job Category 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 - $241,600.00 Target Openings 1 What Is the Opportunity? Travelers 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. What Is in It for You? Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit careers.travelers.com .

Requirements

Must-haves

Job Category
Data Science
Target Openings
What Is the Opportunity?
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.
Adaptability
Presentations

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningai

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Health Insurance

Vision

401(K)

Paid Time Off

Wellness