T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop!

Get hands-on experience, training—and a leg up on a bright future.

Learn. Achieve. Build a career.
T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way!

This is a 11-week paid learning experience during which you’ll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You’ll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We’ll give you hands-on projects and the chance to create an immediate impact.

What It’s Like

The People Science team at T-Mobile is dedicated to understanding and addressing people-related challenges within the organization. We lead, implement, and evaluate research-based initiatives aimed at enhancing organizational effectiveness and employee experience across the enterprise. Our team manages the Our Voice employee survey program, providing valuable insights through data analytics, reporting, and storytelling to support enterprise people strategy.

What You’ll Do

As an Intern Analyst of People Science at T-Mobile, you will play a crucial role in helping our team pursue greater organizational effectiveness. You will assist in the development and validation of psychological assessments and surveys, ensuring they are both reliable and valid. Your knowledge in advanced statistical analysis will be essential for conducting complex data analyses using tools like SPSS, R, or Python to uncover valuable insights that inform decision-making. You will leverage your academic knowledge to research various industrial-organizational research topics culminating in white papers summarizing your findings and translating those insights to business application.

You will also work to bridge the gap between people and business data to identify trends, patterns, and opportunities for continued improvement across the enterprise. You will design, propose, and implement research initiatives, including both quasi-experimental and survey-based methodologies, to address pressing organizational questions. You will assemble evidence-based recommendations and data visualizations into presentations to consult and support various T-Mobile organizations, helping to enhance employee performance and well-being across the company.

Key Responsibilities

Advanced Statistical Analysis: Conduct complex data analyses using statistical software (e.g., SPSS, R, Python) to uncover insights and inform decision-making; includes psychometric validation of survey data and/or statistical models.

Business Intelligence Analysis: Analyze business data to identify trends, patterns, and opportunities for improving organizational effectiveness.

Org Research Design: Design and implement research studies, including quasi-experimental and survey-based methodologies, to address key organizational questions.

Consulting: Provide evidence-based recommendations and consulting support to various departments to enhance employee performance and well-being.

What It Takes

Master’s degree (MA/MS) in industrial-organizational psychology, organizational behavior, or comparable field.PhD Candidate preferred.Proficiency in data collection, research methodology, and advanced statistical analysis.Strong analytical problem solving.Excellent written, verbal, and presentation skills.

Minimum Qualifications

At least 18 years of ageLegally authorized to work in the United StatesMust have graduated within the last 12-months, OR be actively enrolled in a Graduate degree programEmployees of T-Mobile or Metro by T-Mobile are ineligible for Internships

Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.

Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.

Intern wages range from $20/hour to $40/hour. The successful candidate’s actual pay will be based on experience/location.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.