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 $161,400.00 - $266,300.00 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 Staff Data Scientist, you will build complex models that solve key business problems. You will join the Claim Research team, where we are building ML/AI capabilities to transform how claim organizations work. This may include the use of most advanced technical tools in the data science practice. You will communicate insights and tell the story using data to business and analytical leaders. You will also collaborate with technology partners to deliver analytics out to our products in the marketplace. What Will You Do? Lead business or technical projects focused on the design or development of analytical solutions. Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding. Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews. Begin to challenge conventional thinking where appropriate. Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view. Guide technical strategy of teams through own technical expertise. Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts. Communicate analysis, insights, and results to team, peers, business partners. Partner with cross-functional teams and leaders to support the successful execution of data science strategies. Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts. Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community. Perform other duties as assigned. What Will Our Ideal Candidate Have? Subject matter expertise in modeling/ research/ analytics or actuarial required Subject matter expertise in value creation and business model concepts Subject matter expertise in multiple statistical software programs Ability to develop highly complex models, interpret model results and recommend adjustments Expertise in advanced statistics underlying data models Ability to apply emerging statistical procedures to complex work Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Hands-on experience building and evaluating LLM-based applications and AI agents (e.g., prompt design, retrieval-augmented generation, tool use, orchestration). Experience designing evaluation approaches for generative AI, including accuracy, hallucination and error analysis, and golden-set creation. Ability to elicit requirements from non-technical stakeholders and turn ambiguous business problems into well-scoped solutions. Familiarity with insurance claims data and processes. What is a Must Have? Master s degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus five 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?
Lead development of community best practices in AI/Machine Learning, statistical techniques, and coding.
Establish a practice/process of sharing expertise with the community through discussions, presentations, or peer reviews.
Begin to challenge conventional thinking where appropriate.
Anticipate potential objections and persuade peers, technical and business leaders to adopt a different point of view.
Guide technical strategy of teams through own technical expertise.
Set and manage expectations with business partners for multiple projects, generate ideas and build consensus, and be aware of potential conflicts.
Communicate analysis, insights, and results to team, peers, business partners.
Partner with cross-functional teams and leaders to support the successful execution of data science strategies.
Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts.
Collaborate with Sr Staff Data Scientist on various training and skill development initiatives, including delivering training to the analytics community.
Perform other duties as assigned.
What Will Our Ideal Candidate Have? Subject matter expertise in modeling/ research/ analytics or actuarial required
Subject matter expertise in value creation and business model concepts
Subject matter expertise in multiple statistical software programs
Ability to develop highly complex models, interpret model results and recommend adjustments
Expertise in advanced statistics underlying data models
Ability to apply emerging statistical procedures to complex work
Subject matter expertise in 3-5 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.
Hands-on experience building and evaluating LLM-based applications and AI agents (e.g., prompt design, retrieval-augmented generation, tool use, orchestration).
Experience designing evaluation approaches for generative AI, including accuracy, hallucination and error analysis, and golden-set creation.

Nice-to-haves

None flagged.

Application prep

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

Keywords to mirror

machine learningmlaillm

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Health Insurance

Vision

401(K)

Paid Time Off

Wellness