Summer 2025 Associate Network Data Scientist Internship

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 12-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

Our team focuses on maintaining and optimizing telecom network functions using a variety of OSS (Operating Support System) platforms. This includes fault management, performance analysis, configuration management, security audits, and data analytics to ensure overall network efficiency.

OSS system collects FCAPS data of all network equipment such as cell sites, switches/routers, Core network elements, etc. Collected data includes all alarms, performance, and configuration data of each network element.

The intern will collaborate closely with engineers and data scientists to address real-world challenges in telecom operations, contributing to the development of data-driven solutions that enhance network reliability and performance.

What You’ll Do

• Analyze fault, performance, and configuration management data.

• Develop machine learning models to predict potential network issues.

• Partner with our SME’s to design a meaningful project to improve our machine learning operations stance.

• Work on developing RAG pipelines.  (Retrieval Augmented Generation)

• Work with internal customers to understand the needs and operational model of the business.

• Intern will have a chance to learn and perform an extensive data analysis, to design/implement an AI/ML tool to analyze any anomalies in OSS systems and networks, to predict outages, and possibly to perform partial prevention.

• Intern will also have a chance to create/manage a GenAI CoPilot AI assistant tool to support various team.

Key Responsibilities

• Learn the OSS and / or Orchestration systems that manage LTE/5G cell site network

• Conduct data analysis, extracting insights for algorithms and automate reporting on network performance.

• Collaborate with team members to troubleshoot and resolve telecom network issues.

• Create a new Azure AI CoPilot AI Assistant tool or enhance existing Azure AI tool

• Design and implement a Proof of Concept AI/ML tool to predict OSS systems

What It Takes

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Machine Learning or other Technology related Major.

• Excellent Microsoft Office Suite Skills.

• Outstanding data analysis, organizational, and prioritization skills with a strong attention to detail.

• Agile individual, with excellent interpersonal, work ethic, and presentation skills.

• Ability to read and write Python, with familiarity with PyTorch, LangChain, LangGraph, autogen modules.

• The ability to understand and write SQL.

• Strong Understanding of Statistics.

• Familiarity with using GIT.

• Strong written and verbal communication skills.

• Understanding of Machine Learning concepts and techniques is preferred.

• Familiar with Cloud Computing (Azure) is preferred

• Willingness to learn and a drive to explore

• Good knowledge of Generative AI(Azure AI) is preferred

Minimum Qualifications

• At least 18 years of age
• Legally authorized to work in the United States
• Must have graduated within the last 12-months, OR  be actively enrolled in a Bachelors or Graduate degree program
• Employees 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.