Data Science Internship (Graduate Level) - Summer 2026

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: $25/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, designed to facilitate a robust data science career path. Interns will be focused on applying data science and generative AI to solve real-world data challenges. You will work on projects that enhance decision making, improve customer experiences, and drive operational efficiency using advanced analytics and emerging AI technologies.

As part of the experience, you will be involved in key projects that will provide exposure to the following:

• Practical applications of Gen AI and machine learning in retail.
• How to work with cloud platforms (e.g., Azure, AWS, GCP) and tools like Python, SQL, and Spark.
• Exposure to retail data systems, customer analytics, and omnichannel strategies.
• Agile development practices and collaboration in a tech-driven business environment.

This is a hybrid role with three weeks per month onsite (Mon- Thurs). The primary work location is our corporate campus in Dodgeville; WI and you will perform work both on-site and remotely each week. You must reside or relocate within a commutable distance of the office for this position. Don't worry, we have you covered, Lands' End offers competitive relocation assistance! A fully remote internship would be considered if necessary.

Successful candidates should have the following knowledge, skills and abilities:

• Pursuing a Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Strong foundation in Python, machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), and data manipulation.
• Strong data analysis skills and able to communicate key insights
• Familiarity with Gen AI concepts and tools (e.g., OpenAI, Hugging Face, LangChain).
• Excellent problem-solving and communication skills.
• Curiosity and passion for applying AI to real-world business problems.

Preferred Qualifications

• Experience with retail or eCommerce datasets.
• Exposure to cloud computing and MLOps practices.
• Knowledge of NLP techniques and LLM fine-tuning.
• Good understanding of causal inference.
• Understanding or experience working with click stream data (Adobe Analytics or Google Analytics)

Roles and responsibilities:

• Collaborate with data scientists and engineers to develop models and tools using machine learning and generative AI.
• Analyze structured and unstructured data from various retail channels (eCommerce, stores, marketplaces).
• Build prototypes that leverage Gen AI for tasks such as demand forecasting, product categorization, customer insights, or content generation.
• Assist in evaluating and fine-tuning large language models (LLMs) for internal use cases.
• Support data pipeline development and ensure data quality and integrity.
• Present findings and recommendations to cross-functional stakeholders.