Data Science Engineer Internships
Data science engineer internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working engineers and data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated in Education and Biotechnology & Pharmaceuticals, with Delta Air Lines, AARP, and ISPOT among the employers posting roles now.
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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.
Compensation Overview
The hourly 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 hourly rate 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
$35.00 - $45.00Target Openings
7What Is the Opportunity?
The goal of the Data Science Leadership Development Program (DSLDP) internship is to attract and develop self-motivated individuals who are highly skilled and passionate about a career in data science while providing a foundation for future success within the organization.As a DSLDP intern, you will be exposed to a challenging professional work experience in data science with planned activities giving you insight into the community at Travelers, and the many ways we solve business problems using cutting edge statistical and analytical techniques.
You will assist to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured, diverse data sources to generate actionable insights and solutions for client services and product enhancement.
With many company-wide events such as Intern Symposium and community outreach events, you will have the opportunity to interact and network with many levels of leadership and management. You will be expected to work together with fellow interns to develop and present solutions to relevant business and data science topics.
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.
Housing - The Internship program is based in Hartford, CT and St. Paul, MN. Positions are available in our Business Units and Corporate Departments. Subsidized apartments are available for students who live beyond a commutable distance from Hartford, CT or St. Paul, MN. Positions are available early June through the end of the summer.
What Will You Do?
- The internship offers a training curriculum focused on data science and business acumen. Other program components include formal mentoring, networking, and career guidance.
- DSLDP Intern duties will vary based on the specific assignment, within one of our research groups, including:
- Bond & Specialty Insurance
- Business Insurance Research & Development
- Claim Business Intelligence & Analytics
- Personal Insurance Research & Development
- Other departments, including Artificial Intelligence and Emerging Technologies
- Work includes:
- Providing recommendations on projects that deal with data science related concepts
- Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business
- Identifying, integrating and structuring complex data flows
- Identifying new opportunities for analytic solutions
- Validate, manipulate and perform data analysis tasks
- Provide qualitative and quantitative data support to ensure accuracy of metrics
- Perform other duties as assigned.
What Will Our Ideal Candidate Have?
- Pursuing a Master’s or PhD level degree in Statistics, Mathematics, or Data Science.
- Applied statistical knowledge and experience solving “real-world” problems.
- Demonstrated ability to communicate technical concepts to a non-technical audience.
- Experience with a programming language (Python, R, SAS, etc).
- 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?
- Pursuing a Master’s or PhD level degree in Statistics, Mathematics, Decision Sciences, Actuarial Science, or a related analytical STEM field.
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.
We are committed to providing accommodation to persons with disabilities. If you require accommodation during the recruitment or interview process we will work with you to accommodate your needs.
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 http://careers.travelers.com/life-at-travelers/benefits/.
Data Science Engineer Internship Market
Who's Hiring



Top Industries Hiring
- Education
- Biotechnology & Pharmaceuticals
Tips for Your Data Science Engineer Internship Search
Apply in the fall for summer cohorts
Large employers in technology, finance, and engineering open summer internship applications as early as August or September the year before the start date. Smaller companies and co-op programs post closer to their start dates. Check listings consistently through the fall and spring rather than waiting until the semester you want to intern.
Build a portfolio before you apply
Intern hiring teams for data science engineer roles expect limited work history and assess candidates on project evidence instead. Publish two or three end-to-end projects on GitHub, complete with data pipelines, model code, and a clear README, so every application links to something reviewers can actually open and evaluate.
Work your campus network alongside direct applications
Career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. At the same time, apply directly to companies running smaller cohorts that never attend campus events. Running both tracks together reaches more opportunities than either approach alone.
Practice your technical screen out loud
Data science engineer intern screens typically include a coding assessment covering data structures, algorithms, and SQL, plus a take-home or live machine learning problem. Practice solving problems while narrating your reasoning, interviewers weigh how you think through a problem as much as whether you reach the right answer. Do at least several sessions before your first real screen.
Target structured internship pipelines early
Larger technology and engineering employers run formal cohort programs designed specifically to train people new to data science engineering. These programs recruit on a fixed schedule, fill their seats in the first application wave, and close before many candidates realize they are open. Identify the programs that match your background and apply as soon as each one opens.
Set your work-type filter before you start
On-site roles are 36% of the data science engineer internships listed here. Decide what you can actually commit to, relocation, commuting, or fully remote, before you start searching, then filter by location and work type from the beginning. Sorting through roles you cannot accept wastes application time you could spend on a stronger submission to a better-fit opening. Use the filters on Migrate Mate to narrow results immediately.
Data Science Engineer Internships: Frequently Asked Questions
How do I get a data science engineer internship?
Lead with coursework, personal projects, and a portfolio rather than work history, hiring teams expect limited experience at the intern level. A GitHub repository showing end-to-end data pipelines, model notebooks, or deployed applications gives recruiters something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for candidates they meet in person.
Can a data science engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What actually drives it is your performance on real project work, open headcount on the team at offer time, and how early you signal interest in returning. Treat the internship as an audition, deliver results, and ask about the return-offer process without counting on a specific outcome.
When should I apply for data science engineer internships?
Earlier than most expect. Large employers, technology companies, financial institutions, and major manufacturers, open summer internship applications the preceding fall, sometimes as early as August or September. Smaller companies and co-op programs post closer to the actual start date, so openings appear year-round. Check regularly and apply as soon as a role that fits your background goes live.
Are data science engineer internships paid?
Most professional data science engineer internships in the United States are paid. Compensation varies by company size, industry, and location, so listings show the range where the employer chooses to disclose it. Unpaid internships do exist, particularly at early-stage startups or through academic arrangements, but they are uncommon at established technology and engineering employers.
What should a data science engineer internship resume include?
Lead with projects, not work history. Feature two or three complete, documented projects that name the tools, datasets, and methods you used, and link directly to your code repositories or published analyses so reviewers can verify the work. Add relevant coursework in machine learning, statistics, or data engineering. Keep the entire document to one page.
Are there remote data science engineer internships?
Yes. Remote and hybrid roles make up 64% of the data science engineer internship listings here, with the rest on-site. Remote cohorts tend to fill quickly because they draw a wider applicant pool, so apply early once you decide remote fits your situation. Use the work-type filter to see only remote or hybrid openings.
Can international students get data science engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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