Returns Optimization Internship: Summer

As an intern, you will join over 5,000 talented individuals who are leaders, critical thinkers, accountable, curious, flexible and results-minded all driving toward the same goal - to delight customers and drive sales through multiple channels.

In addition, you will join a diverse group of individuals from a variety of colleges, universities and areas of study.

Some highlights of our internship program include: * Paid Internship: $20/hr * Twelve-week program: May 18 - August 7, 2026 * Full-time opportunity: 8am - 5pm CT * Team building and networking activities * Group projects and career-building workshops * Leadership and cross-functional learning opportunities * Assigned mentor focused on your growth and development * Senior leader speaker series * Lands' End merchandise discount * Relocation assistance available Our internship program is designed with future leaders in mind and serves as a pipeline for top talent.

The Intern experience at Lands' End is a comprehensive development-based role, offering a unique opportunity to gain hands-on experience in a dynamic and growing area of the business.

This internship is designed for future supply chain and operations leaders.

The Returns Optimization Intern will gain hands-on experience analyzing return flows and evaluating optimization strategies.

Successful candidates should have the following knowledge, skills and abilities: * Strong analytical and problem-solving skills * Interest in supply chain, logistics, finance or operations * Ability to analyze large datasets and synthesize insights * Process improvement mindset * Strong Excel skills * Ability to work cross-functionally and independently * Clear and confident communication skills Roles and responsibilities: * Analyze current returns processes, volumes, and costs * Develop and compare return-routing scenarios and optimization options * Build a data-driven business case considering storage, labor, transportation, and handling costs * Partner with operations, finance, and supply chain teams to validate assumptions * Present findings and recommendations to leadership