Data Science Leadership Development Program (DSLDP) Sr. Associate Data Scientist

Travelers•Hartford, CT

About The Position

The Data Science Leadership Development Program (DSLDP) is a three-year rotational program designed to grow and develop participants' data science and self-leadership skills. Each rotation involves hands-on experience, a comprehensive Data Science curriculum, and a formal mentoring program to prepare participants for a dynamic career. Participants will explore various analytics functions and learn from different leaders within Travelers. Travelers Data Scientists utilize advanced statistical techniques and machine learning algorithms to enhance organizational intelligence. As a Sr. Associate Data Scientist, you will analyze large, complex data sources to generate actionable insights and solutions that improve customer experience. You will collaborate with business partners to understand business needs and identify opportunities for data analysis and experiments. The role involves leveraging expanding technical and business knowledge to build models that address key business problems. This position is intended for internal employees, 2026 Travelers Summer Interns, and Summer Students applying for 2027 Full-time or Intern opportunities. Applications from other candidates will not be considered at this time, but are encouraged for future postings.

Requirements

Master's in STEM related field or equivalent
1 year of related experience
Moderate working knowledge of modeling/research /analytics or actuarial required
Relevant statistical analysis work experience required
Knowledge of statistical techniques with the ability to read and revise statistical software programs
Ability to develop basic models and interpret model results
Basic understanding of advanced statistics underlying data models
Ability to apply emerging statistical procedures to work
Working knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling
Strong track record of taking ownership and responsibility for actions and outcomes, performance, and results (Accountability)
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 (Analytical and Critical Thinking)
Ability to remain energized and focused in the face of ambiguity, change or strenuous demands (Change Management/Resilience)
Proven customer service skills with the ability to provide service excellence to internal or external clients (Customer Focus)
Demonstrated track record of self and social awareness, empathy and balances confidence with humility (Emotional Intelligence)
Excellent communication skills with the ability to actively engage with others while maintaining a positive attitude (Interpersonal)
Capability of exercising sound judgment, making decisions and committing to a position (Judgment/Decision Making)
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 (Leveraging Differences)
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 (Relationship Management)
Ability to work together in situations when actions are interdependent, and a team is mutually responsible to produce a result (Teamwork)
Possession of a strong drive to do what it takes to get the job done; inquisitive and demonstrates a strong willingness to learn (Work Ethic)
Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus one year 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