Summer AI & Data Analytics Supply Chain Intern

T-MOBILE USA, Inc.; Frisco (TX); On-site; USD 37,000 - 69,000; Full time

Job summary

T-Mobile USA, Inc. offers an 11-week paid internship focused on Network Supply Chain Operations in Frisco, TX. You will work on real projects with mentors, using AI tools to improve efficiency and decision making.

Expect to build relationships with leaders, gain hands-on experience, and contribute measurable results. You'll develop AI-enabled solutions, analyze data, and create dashboards while collaborating with cross-functional teams.

Qualifications

• Strong interest in AI, automation, and data analytics to solve business challenges.
• Foundational Microsoft Excel skills; exposure to Power BI, Python, SQL, or automation tools is a plus.
• Academic projects or coursework involving AI, data analysis, or process improvement preferred.

Responsibilities

• Develop AI-driven solutions and automate tasks to improve productivity.
• Analyze supply chain performance data to identify trends and inefficiencies.
• Build dashboards and reporting using Power BI, Excel, and AI-assisted tools.
• Evaluate processes for standardization, automation, and cost reduction.
• Collaborate with supply chain leaders and tech teams to test and implement solutions.
• Lead an improvement initiative from problem to validated solution.
• Measure results such as time savings and productivity gains.
• Present recommendations and business impact to leadership.

Skills

AI & data analytics

Analytical thinking

Problem solving

Communication & collaboration

Education

Bachelor's or Graduate degree program in progress

Tools

Power BI

Excel

Python

SQL

Job description

T-Mobile USA, Inc. offers an 11-week paid internship focused on Network Supply Chain Operations in Frisco, TX. You will work on real projects with mentors, using AI tools to improve efficiency and decision making.

Expect to build relationships with leaders, gain hands-on experience, and contribute measurable results. You'll develop AI-enabled solutions, analyze data, and create dashboards while collaborating with cross-functional teams.