Data Science & Analytics Internship - Summer 2026

TransUnion•Chicago, IL

21h•$22 - $40•Hybrid

About The Position

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation – we’re consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology. Our Summer Internship Program at TransUnion will allow you to use & develop the skills you've learned in school while participating in engaging events such as: career development workshops, networking events, and guest speakers throughout this paid 12-week internship beginning in May 18, 2026 or June 15, 2026, depending on academic calendar.

Requirements

Must be graduating by June 2027 or earlier and currently enrolled in an undergraduate or graduate program in data science, statistics, mathematics, engineering, operations research, economics, or a related quantitative field.
Advanced programming skills in one or more statistical languages, such as R or Python and SQL
Strong analytical, critical thinking & creative problem solving skills.
Ability to conduct meaningful research with a high degree of independence.
Familiar with relational databases and "Big Data" technologies.
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week

Responsibilities

Conduct a research project independently or as part of a team, under the supervision of a senior member of the Data Science & Analytics team.
Review the proposed research topic and generate a problem-solving methodology in collaboration with the supervisor.
Independently manage the chosen project and provide the supervisor with periodic progress reports.
Design an appropriate testing environment to measure applicability of the proposed methodology to the needs of the business unit and compare with alternative approaches, as appropriate.
Create any software code necessary to produce findings.
Carefully document all sources and research findings.
Prepare a summary of findings in an internal white paper for senior management.
Present summary of findings to research sponsors.
Conduct training for other Associates as appropriate.
Provide support for Data Science & Analytics projects beyond the scope of the research project, as needs arise.