About the position
TransUnion is seeking an intern for the Data Science and Analytics team, who will conduct a research project independently or as part of a team under the supervision of a senior member. The internship is designed to provide practical knowledge of analytic applications in industries utilizing consumer credit data. The intern will be responsible for reviewing the proposed research topic and generating a problem-solving methodology in collaboration with their supervisor. This methodology should either demonstrate a technique not commonly used by the department or provide a substantial process improvement to a commonly used method. The intern will manage the chosen project independently and provide periodic progress reports to their supervisor. The intern will also design an appropriate testing environment to measure the applicability of the proposed methodology to the needs of the business unit and compare it with alternative approaches. They will create any necessary software code to produce findings and carefully document all sources and research findings. At the conclusion of the project, the intern will prepare a summary of findings in an internal white paper for senior management and present these findings to research sponsors. Additionally, the intern may conduct training for other associates as appropriate and provide support for Data Science and Analytics projects beyond the scope of the research project as needs arise. This position is hybrid, requiring in-person attendance 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 supervision.
- Review the proposed research topic and generate a problem-solving methodology in collaboration with the supervisor.
- Independently manage the chosen project and provide periodic progress reports to the supervisor.
- Design an appropriate testing environment to measure the applicability of the proposed methodology.
- Create any necessary software code 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.
Requirements
- Must be graduating by June 2026 or earlier.
- Currently enrolled in an undergraduate or graduate program in statistics, mathematics, engineering, operations research, economics, or a related quantitative field.
- Proficient with Microsoft Excel and Microsoft PowerPoint.
- Strong analytical, critical thinking, and creative problem-solving skills.
- Ability to conduct meaningful research with a high degree of independence.
- Familiar with relational databases and 'Big Data' technologies.
- Able to communicate effectively at multiple levels within the organization, both verbally and in writing.
Nice-to-haves
- Advanced programming skills in one or more statistical languages, such as R or Python.
Benefits
- Medical with HSA options
- Dental
- Vision
- 401k Contribution
- 401K employer matching for internships lasting longer than six months.
