Data Science Analyst Internships
Data science analyst internships give university students, recent graduates, and early-career switchers hands-on project experience working with real datasets, mentorship from working data scientists, and, at many employers, a path toward a full-time offer. Openings are concentrated across 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 Analyst Internship Market
Who's Hiring



Top Industries Hiring
- Education
- Biotechnology & Pharmaceuticals
Tips for Your Data Science Analyst Internship Search
Apply in the fall for summer roles
Large employers in tech, finance, and consulting open summer data science analyst intern recruiting as early as August or September the year before. If you wait until spring, many structured cohort programs are already closed. Smaller companies and co-ops post closer to start dates, so keep checking throughout the year.
Build a project portfolio before you apply
Hiring teams for data science analyst interns evaluate your thinking through work samples, not job titles. Publish two or three end-to-end projects on GitHub or a personal site, each showing the dataset, your analysis or model, the tools you used, and what you found. A linked notebook does more work than a bullet point on a resume.
Work your campus network and apply directly at the same time
Campus career fairs surface structured programs tied directly to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Running direct applications to companies with smaller cohorts alongside that campus activity puts you in front of opportunities your classmates may not see.
Practice the technical screen out loud before applying
Data science analyst intern interviews typically include a technical or analytics screen covering SQL, Python, statistical reasoning, or case-style questions about data interpretation. Practice working through problems out loud, explaining your logic as you go, because interviewers weigh how you think through ambiguous data problems as much as whether you reach the right answer.
Target structured rotational and university programs early
Many large employers run dedicated data science rotational or cohort programs built to train candidates new to the field. These recruit in the first wave of fall recruiting and fill fast. Identify the programs that align with your background and apply as soon as they open rather than waiting to finalize other applications first.
Set your work-type filter before you start
On-site roles are 36% of the data science analyst internships listed here. Decide upfront what you can realistically commit to, then filter by location and work type so you are spending your time on roles you can actually accept, not sorting through listings that don't fit your situation.
Data Science Analyst Internships: Frequently Asked Questions
How do I get a data science analyst internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited professional experience at the intern level. Build a portfolio of two or three documented analyses or models, ideally with linked code on GitHub or a published notebook, so recruiters have something concrete to assess. Pair direct applications with campus career fairs, where data science recruiters often move faster for students they meet in person.
Can a data science analyst internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for data science analyst interns is performance on real project deliverables, whether the team has open headcount at the end of the summer, and how early you confirm your interest. Treat the offer as a possible outcome worth working toward, not a certainty to count on.
When should I apply for data science analyst internships?
Earlier than most candidates expect. Large tech and finance employers open summer intern recruiting the preceding fall, often as early as August or September. Smaller companies, startups, and co-op programs post much closer to their start dates, so openings appear year-round. Checking regularly and applying as soon as a role matches your background gives you the best shot at each wave.
Are data science analyst internships paid?
Most professional data science analyst internships in the U.S. are paid. Compensation varies by company size, industry, and location. Where an employer discloses pay, the listing shows it directly, so you can compare opportunities without guessing.
What should a data science analyst internship resume include?
Lead with two or three complete projects rather than work history. For each one, name the tools and methods you used, describe the outcome, and link to the code repository or published analysis so reviewers can see the actual work. Add relevant coursework in statistics, machine learning, or programming, and keep the whole document to one page.
Are there remote data science analyst internships?
Yes. Remote and hybrid roles make up 64% of the data science analyst internship listings here, with the rest on-site. Remote cohorts fill quickly because they attract applicants from every location, so apply early and use the work-type filter to surface them without sorting through roles you cannot take.
What is a data science rotational internship program?
Some large employers, particularly in tech and finance, run structured rotational internship programs that place interns across two or three data teams over the course of a summer. These programs are designed for people building their first professional data science experience, offer broader exposure than a single-team placement, and recruit early in the fall cycle. They are competitive, so identify the ones that fit your background and apply in the first wave.
Can international students get data science analyst 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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