Intern, Data Science and Analytics

What We'll Bring:

At TransUnion, we strive to build an environment where our associates are in the driver’s seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day.

Come be a part of our team – you’ll work with great people, pioneering products and cutting-edge technology.

What You'll Bring:

• Undergraduate degree in statistics, mathematics, business, finance, economics, or equivalent

• Demonstrated interest in statistics, mathematics or Financial Services (e.g., relevant internships).

• Solid programming skills; proficiency with a statistical language such as SQL, R or Python; and a high level of familiarity with Microsoft Office tools

Impact You'll Make:

• Assist in conducting projects related to the statistical analysis of data that will address the various phases of the account life cycle

• Assist in preparing detailed documentation specifications such as analysis and research results for internal and external distribution/publication

• Facilitate or perform User Acceptance Test (UAT)
   

We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

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.
 

TransUnion's Internal Job Title: Intern, Data Science and Analytics

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