Summer 2026 Compensation Systems Intelligence Intern
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Job Location:
Overland Park, KS - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
T-Mobile is synonymous with innovationand you could be part of the team that disrupted an entire industry! We reinvented customer service brought real 5G to the nation and now were 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 wont stop!
Get hands-on experience trainingand 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 an 11-week paid learning experience during which youll 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. Youll contribute your creativity and outstanding ideas while working alongside T-Mobile employees. Well give you hands-on projects and the chance to create an immediate impact.
WhatItsLike
As a Compensation Systems Intelligence Internyoulloperateat the intersection of compensation strategy data engineering and applied AI. This is a builder role focused on modernizing and scaling T-Mobiles compensation analytics ecosystem through automation structured data design and intelligent systems.Youllwork directly with senior compensation leadership to prototype and deploy systems that reduce manual processes and enable faster executive-ready insights.
This role is ideal for someone who thrives in ambiguity enjoys architecting solutions from the ground up and wants hands-on experience building AI-native systems within an enterprise environment.Youllcontribute to accelerating T-Mobiles transition toward an AI-enabled compensation operating model.
WhatYoullDo
Design and prototype structured data pipelines that unify compensation data labor market insights and job architecture frameworks.
Build intelligent systemsleveragingEnterprise GPT and retrieval-based architectures to support compensation decision-making.
Automate repeatable workflows such as market pricing analysis job evaluation insights and executive briefing preparation.
Create orchestration frameworks that standardize compensation processes and reduce operational cycle time.
Integrate dashboards and reporting systems to deliver scalable executive-ready insights with improved transparency and governance.
Key Responsibilities
Build Compensation Intelligence Infrastructure
Design and implement structured data pipelines connecting compensation systems and external labor market data.
Develop scalable data models query frameworks and metadata standards to enable system interoperability.
Improve data lineage structure and accessibility to support AI-enabled tools and reduce manual reconciliation.
Develop Intelligent Systems & Workflow Automation
Prototype and deploy AI-enabled systems using Enterprise GPT and retrieval-based architectures.
Automate recurring compensation workflows to improve efficiency and consistency.
Design standardized orchestration frameworks that reduce operational burden and improve decision speed.
Enhance Data Storytelling & Executive Insight Delivery
Integrate reporting systems using structured query layers and standardized output formats.
Automate generation of executive-ready summaries from structured datasets.
Improve reporting reproducibility transparency and scalability for senior leadership decision-making.
What It Takes
Education
Currently enrolled in a Bachelors orMastersprogram in Computer Science Data Science Engineering AI or a related field.
Experience & Technical Skills
Strongproficiencyin Python and SQL.
Experience building applied AI systems (e.g. RAG agentic workflows LLM-based applications).
Experience in data modeling and structured pipeline design.
Experience integrating APIs and enterprise datasets (preferred).
Familiarity with graph databases such as Neo4j (preferred).
Interest in workforce analytics labor economics or compensation strategy (preferred).
Core Competencies
Ability to design scalable systems within enterprise constraints.
Strong analytical and structured problem-solving skills.
Ability to translate ambiguous business challenges into technical solutions.
Clear communication skills especially when explaining technical concepts to non-technical stakeholders.
High ownership mindset with a strong builder mentality.
Ability to adapt to shifting priorities and independently structure daily work.
Professional collaboration with cross-functional stakeholders.
Minimum Qualifications
- At least 18 years of age
- Legally authorized to work in the United States
- Must 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 $26/hour to $47/hour. The successful candidates actual pay will be based on education/STEM vs non-STEM designation.
Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre 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.
Required Experience:
Intern
Key Skills
- Microsoft Office
- Public Relations
- Google Docs
- Data Collection
- MailChimp
- Microsoft Word
- Dermal Fillers
- Microsoft Powerpoint
- Research Experience
- Microsoft Excel
- Adobe Photoshop
- Writing Skills
About Company
Grow Your Career. Grow With One Join Us #WeAreOne We are driven. We are family. We are One. When you join MobileOne, you join a team of friends who work as hard as they play. You’ll learn how to be a leader, make bank, and most importantly, have fun along the way. With over 200 […] ... View more
