Data Science Leadership Development Program (DSLDP) Associate Data Scientist

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

$89,800.00 - $148,300.00

15

Innovative thinking, creative problem-solving, and a determination to challenge the status-quo. These are some of the defining qualities for participants of our Data Science Leadership Development Program (DSLDP). This three-year rotational program is designed to grow and develop your data science and self-leadership skills. Each rotation will consist of a combination of hands-on experience, access to a robust Data Science curriculum, and a formal mentoring program to prepare you for a dynamic career. You will have the opportunity to explore multiple functions of analytics while learning from different leaders within Travelers.

Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As an Associate Data Scientist, you will assist in analyzing data sources to generate actionable insights and solutions that will enhance our customer experience. You will use your developing technical and business knowledge to build models that solve key business problems.

The intent of this position is to provide our internal employees, 2026 Travelers Summer Interns and Summer Students the ability to apply to our 2027 Full-time or Intern opportunities. Applications outside of this audience will not be considered at this time. However, for additional positions posted at a later date, we encourage anyone who was not an internal employee, Summer Intern or Summer Student between June 2026–August 2026 to apply at that time.

What Will You Do?

• The program is multi-faceted and offers a data science curriculum focused on analytics, insurance, strategy, leading self and influencing others. Other program components include formal mentoring, networking and career guidance. Please note that occasional travel for business meetings and events is an expectation of program participants.
• DSLDP participant duties will vary based on the specific rotation. You will:
• Perform tasks to support the development of analytical solutions following defined processes.
• Learn domain and business knowledge to perform assigned steps to build statistical models.
• Communicate analysis, insights, and results to manager and working team.
• Develop your understanding of key business areas (e.g., product, enterprise, industry, claim process and competitors) that enable project work.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Master's in STEM related field or equivalent:
• Basic working knowledge of modeling/research/ analytics or actuarial required.
• Knowledge of statistical techniques with the ability to learn statistical software programs.
• Execution focused with the ability to complete assigned steps to support developing advanced models.
• You will develop your understanding of advanced statistics underlying data models.
• Ability to apply statistical procedures to work as directed Developing knowledge in: Regression, Classification, Machine Vision, Natural Language Processing,
• Deep Learning and Statistical modeling.
• Accountability: Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results.
• Analytical and Critical Thinking: Demonstrated aptitude in identifying current or future problems or opportunities, analyzing data, synthesizing and comparing information to understand issues, identifying cause/effect relationships and exploring alternative solutions to support sound decision making.
• Change Management/Resilience: Ability to remain energized and focused in the face of ambiguity, change or strenuous demands.
• Customer Focus: Proven customer service skills with the ability to provide service excellence to internal or external clients.
• Emotional Intelligence: Demonstrated track record of self and social awareness, empathy and balances confidence with humility.
• Interpersonal: Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude.
• Judgment/Decision Making: Capability of exercising sound judgment, making decisions and committing to a position.
• Leveraging Differences: Proven capacity to works with and include people from different backgrounds, experiences, cultures, races, etc. and view those differences as assets to be leveraged to accomplish business goals and objectives.
• Relationship Management: Strong relationship management skills including the ability to seek out, build, foster and maintain productive relationships, networks or alliances to meet goals and achieve results.
• Teamwork: Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result.
• Work Ethic: Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn.

What is a Must Have?

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field 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.