Summer 2026 Compensation Systems Intelligence… at T-Mobile · Bellevue

Summary: T-Mobile is a leader in wireless innovation, and they are seeking a Compensation Systems Intelligence Intern to contribute to their compensation analytics ecosystem. This role involves designing and prototyping data pipelines, building intelligent systems, and automating workflows to enhance compensation decision-making. 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 - 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 - 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 - 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 Required Qualifications: - 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 Preferred Qualifications: - Experience integrating APIs and enterprise datasets - Familiarity with graph databases such as Neo4j - Interest in workforce analytics, labor economics, or compensation strategy Required Skills: Python, SQL, Applied AI systems Important Skills: Data modeling, Structured pipeline design Nice-to-Have Skills: Analytical skills Internship Start Date: Start in 2026 Summer Benefits: Relocation assistance may be provided to program participants who reside more than 50 miles from the internship location.