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. Work Location: Frisco, TX, or Bellevue, WA Requested Degree Level: Undergraduate or Graduate Requested Student Classification: Junior Year (Class of 2026) | Entering Senior Year (Class of 2025) | Graduated (Summer of 2024) Finance, Procurement, and Supply Chain at T-Mobile offers a fast-paced and team-focused environment that will grow your Finance and leadership skills as you help craft the success of the Un-carrier. You will work across the different functions at T-Mobile and make a difference in how we do business. The intern will have the opportunity to work with our AI and Machine Learning Center of Excellence to help design and build innovative AI solutions for our Finance organization. Are you ready to join the Un-Carrier? What you will do Work within our toolset to clean, ingest, prepare, index, chunk data in preparation for it to be used in AI applications. 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. Qualifications 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. Excellent interpersonal, work ethic, and presentation skills. Ability to work in a fast-paced environment with ambiguity. Be able to read and write Python and have 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 is preferred. Willingness to learn and a drive to explore. -At least 18 years of age -Legally authorized to work in the United States -High School Diploma or GED -Must be actively enrolled in a degree program or graduated within the last year -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 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