Summer 2025 IT Data Science Intern
- Internship, onsite
- T-Mobile
- On Site, United States of America
Salary undisclosed
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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:
We are seeking a motivated and talented summer intern to join our team, focusing on the development of
AI/ML models. As a part of our dynamic team, you will play a crucial role in developing customer insights into
billing issues and providing actionable recommendations to enhance customer satisfaction.
What You'll Do
Key Responsibilities:
Collaborate with cross-functional teams to understand business requirements and translate them into
AI/ML solutions.
Develop, test, and deploy machine learning models to analyze customer billing data and identify
patterns and anomalies.
Work on data preprocessing, feature engineering, and model evaluation to ensure high accuracy and
performance.
Generate insights from data analysis to identify key areas of improvement in billing processes.
Provide recommendations to the business based on model outputs to increase customer satisfaction.
Document and present findings and recommendations to stakeholders.
Qualifications:
Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
Strong understanding of machine learning algorithms and statistical methods.
Experience with data analysis and visualization tools.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work effectively in a team environment.
Proficiency in programming languages such as Python or R.
What We Offer:
Hands-on experience with real-world AI/ML projects.
Mentorship and guidance from experienced professionals.
Opportunity to make a meaningful impact on customer satisfaction.
Collaborative and inclusive work environment.
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 or calling 1- . 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.
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:
We are seeking a motivated and talented summer intern to join our team, focusing on the development of
AI/ML models. As a part of our dynamic team, you will play a crucial role in developing customer insights into
billing issues and providing actionable recommendations to enhance customer satisfaction.
What You'll Do
Key Responsibilities:
Collaborate with cross-functional teams to understand business requirements and translate them into
AI/ML solutions.
Develop, test, and deploy machine learning models to analyze customer billing data and identify
patterns and anomalies.
Work on data preprocessing, feature engineering, and model evaluation to ensure high accuracy and
performance.
Generate insights from data analysis to identify key areas of improvement in billing processes.
Provide recommendations to the business based on model outputs to increase customer satisfaction.
Document and present findings and recommendations to stakeholders.
Qualifications:
Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
Strong understanding of machine learning algorithms and statistical methods.
Experience with data analysis and visualization tools.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work effectively in a team environment.
Proficiency in programming languages such as Python or R.
What We Offer:
Hands-on experience with real-world AI/ML projects.
Mentorship and guidance from experienced professionals.
Opportunity to make a meaningful impact on customer satisfaction.
Collaborative and inclusive work environment.
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 or calling 1- . 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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