Network Strategy Summer Intern 2027

About the Role

As a Summer Intern for the Capacity Planning team at BNSF Railway, students will engage on high-impact projects that use data, modeling, and financial analysis to guide the future growth and investment decisions of the BNSF network. The Capacity Planning team evaluates current and future network performance, identifies infrastructure constraints, and collaborates with other BNSF teams to develop plans for expansion projects. Successful Interns may be hired as full-time Management Trainees upon graduation.

• Work Location: Fort Worth, TX
• Anticipated Start Date: 06/07/2027
• Number of Positions: 1
• Monthly Salary: $5,250
• Position Type: Full-time, hybrid (minimum 40 hrs/wk), split between office and remote work, with weekend or evening work as needed.
• Travel: Minimal.
• Relocation: Required if located more than 50 miles from the location.
• Training: Two-day orientation in Fort Worth, TX, followed by support on ongoing projects and practical training.

Key Responsibilities

• Analyze corridor, terminal, and hub operations to identify capacity constraints and opportunities for improvement.
• Develop analytical models and simulation tools to evaluate the impact of infrastructure changes.
• Collaborate across BNSF with team members from Engineering Services, Finance, Network & Field Operations, Economic Development, Marketing, and Network Strategy to develop and prioritize investment options.
• Create presentations, visualizations, and recommendations for leaders to support operational and capital planning decisions.
• Explore novel approaches to capacity modeling utilizing Artificial Intelligence tools.

Requirements & Tech Stack

• Legally authorized to work in the United States and at least eighteen (18) years old upon hire.
• Does not require BNSF’s assistance for employment authorization.
• Pursuing a Bachelor's or Graduate degree in Industrial Engineering, Operations Research, Supply Chain Management, Data Science, Computer Science, or a similar degree program.
• Minimum cumulative GPA of 2.75.
• Less than three (3) years of professional work experience/military experience, excluding internships, part-time jobs, or positions held while pursuing a degree.
• Access to reliable transportation for the duration of the internship.

Targeted Technical Skillsets

• Familiarity with SQL, Python, Databricks, SAS, Tableau, or other analytical/visualization tools.
• Experience with simulation including use of AnyLogic.
• Experience with supervised machine learning techniques.
• Use of ClaudeCode.

Preferred Qualifications

• Prior intern experience or less than 3 years of work experience involving operations research, simulation, data analytics, or related discipline.
• Maintain at least a 3.5 cumulative GPA.
• Have or have held a leadership position in a campus, community, or extracurricular organization.