WHAT YOU'LL BRING:

• Currently enrolled in a undergraduate or graduate program in statistics, mathematics, engineering, operations research, economics, or a related quantitative field.

• Advanced programming skills in one or more statistical languages, such as R, Python.

• Proficient with Microsoft Excel, and Microsoft PowerPoint.

• 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.

• Able to communicate effectively at multiple levels within the organization, both verbally and in writing.

IMPACT YOU'LL MAKE:

This position will conduct a research project independently or as part of a team, under the supervision of a senior member of the Data Science & Analytics team. The project scope will be designed to be achievable within the expected duration and total number of hours of the internship. At the conclusion of the project, the supervisor will conduct an assessment of the quality, completeness, and usefulness of the work. Executing the project will provide the incumbent with the opportunity to gain practical knowledge of analytic applications in industries utilizing consumer credit data, including potentially having direct participation in actual customer projects.

• Review the proposed research topic and generate a problem-solving methodology in collaboration with the supervisor.

• The proposed methodology should either demonstrate a technique not commonly used by the department or a substantial process improvement to a commonly used method.

• 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.

TransUnion offers the following benefits to interns scheduled to work a minimum of 30 hours per week

• Medical with HSA options

• Dental

• Vision

• 401k Contribution

Internships lasting longer than six months are entitled to the following additional benefit

• 401K employer matching

The pay range for this role is $22.00 - $40.00 per hour. *The pay range for this position reflects the general range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but limited to) an individual’s education and experience.

WHAT WE'LL BRING:

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 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 or June 2023, depending on academic calendar.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

TransUnion is a global information and insights company that makes trust possible between businesses and consumers, by ensuring that each consumer is reliably and safely represented in the marketplace.

Because of our work, organizations can better understand consumers in order to make more informed decisions and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools, and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.