Summer 2026 Compensation Systems Intelligence Intern

T-Mobile•Overland Park, KS

About The Position

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 an 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 As a Compensation Systems Intelligence Intern, you’ll operate at the intersection of compensation strategy, data engineering, and applied AI. This is a builder role focused on modernizing and scaling T-Mobile’s compensation analytics ecosystem through automation, structured data design, and intelligent systems. You’ll work 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. You’ll contribute to accelerating T-Mobile’s transition toward an AI-enabled compensation operating model.

Requirements

Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Engineering, AI, or a related field.
Strong proficiency in Python and SQL.
Experience building applied AI systems (e.g., RAG, agentic workflows, LLM-based applications).
Experience in data modeling and structured pipeline design.
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.
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.

Nice To Haves

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).

Responsibilities

Design and prototype structured data pipelines that unify compensation data, labor market insights, and job architecture frameworks.
Build intelligent systems leveraging Enterprise 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.
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.