Intern, AI & Distribution Analytics

As the Intern, AI & Distribution Analytics, you will use AI, data analytics, and process improvement methods to identify opportunities across operations at the Utah Distribution Center (UDC), including inventory, labor, quality, automation, and service. You will partner with UDC Operations and support teams to analyze data, test solutions, and recommend improvements that increase efficiency, accuracy, capacity, and the associate experience. What you will accomplish: Analyze UDC operational data to identify trends, bottlenecks, risks, and opportunities across inventory, labor, quality, safety, capacity, and service. Apply AI, predictive modeling, and optimization methods to improve inventory flow, labor planning, capacity, quality, safety, and service. Evaluate automation, robotics, and process performance to identify opportunities to improve uptime, productivity, and exception recovery. Develop dashboards, reports, and decision-support tools that translate data into actionable operational insights. Partner with UDC associates and cross-functional teams to test recommendations, support implementation, and deliver a capstone solution with measurable impact and a sustainable implementation plan. Current undergraduate or graduate student pursuing Industrial Engineering, Supply Chain Management, Data Science, Computer Science, Artificial Intelligence, Operations Research, or a related field. Experience with AI tools and machine learning concepts, with predictive modeling or AI solution development preferred. Experience analyzing data using SQL, Python, R, or similar tools; experience with Power BI, Tableau, or a similar visualization platform is preferred. Knowledge of warehouse operations, supply chain processes, or logistics, with familiarity in optimization techniques, simulation modeling, or operations research preferred. Strong analytical, critical-thinking, and problem-solving skills, with the ability to translate data into practical recommendations. Strong communication, presentation, project management, and cross-functional collaboration skills, including storytelling with data. Graduating in 2027 or 2028 (undergraduate or graduate degree) Work schedule must align with 9-5PM, Pacific Standard Time Must permanently reside and work in the U.S. Must be open to relocating to the San Francisco Bay Area upon graduation for consideration for full-time hybrid positions Available from June 14- August 20, 2027 What You'll Get: The target hourly pay for this position is $27.00 - $27.00. Caring Community. You'll collaborate with teammates who are equally passionate about innovating and driving the industry forward - together, united in beauty. Fulfilling Path. Your career transformation starts here, with opportunities that will challenge, stretch and develop your skills. Meaningful Work. As you make an impact on beauty, you'll feel and see the positive change (consumer, industry, and social) that your individual voice is a part of.