What an AI Analytics Intern does This role is a generalist intern position with three prioritized areas of ownership: With intentions of allowing the employee to gravitate towards a preferred field while learning business operations. • AI Development & Experimentation — Primary / Weekly You'd help us test and build out AI tools for internal use. That means writing and adjusting prompts for LLM’s, running experiments to see what works, and keeping notes on what you tried and what happened. If you've messed around with ChatGPT or Claude on your own time and thought "I wonder how a company would actually use this ?” • Data Management & Analysis — Secondary / Daily & Project We have data spread across a bunch of systems. You'd help pull it together, clean it up, and make it useful. Automating spreadsheets, Python scripts, connecting tools to each other, and putting together quick visuals so the team can see what's going on. If something breaks in the pipeline, you'd help figure out why. • Project Support & Deployment — Tertiary / Weekly & Monthly • Assist in AI project tracking: maintain task lists, coordinate with team members, and update progress reports. • Support deployment activities: test AI applications in staging environments, gather feedback, and assist with rollouts. • Help with vendor interactions for AI tools/services: track subscriptions, process invoices, and follow up on support requests. Skills/Abilities: • Self-motivated, able to work under minimal supervision; excellent organization and written/verbal communication skills. • Proficient in Google Workspace (Sheets/Docs/Calendar); strong programming skills in Python a plus. • Comfortable with basic AI/ML concepts and eager to learn tools (e.g., TensorFlow, Hugging Face). • Demonstrated curiosity about AI/LLMs — able to run experiments, summarize findings, and document results. • Reliable, proactive, strong attention to detail, and capable of escalating issues appropriately. Requirements: • Current FLC student or equivalent; coursework in Computer Science, Data Science, or any Katz School of Business Major. • Passion for skiing or snowboarding and enthusiasm for working in the resort/outdoor recreation sector. • Availability for 10-30 hours/week and occasional In Office Work (In town). • Strong organizational skills and excellent written/verbal communication. Experience: • Prior experience working in the skiing or outdoors industry. • A portfolio, GitHub, personal website, or anything that shows us how you think and what you've built. Working Environment/ Physical Activities: Occasionally lifting up to 50 lbs. Normal conversation in person and on the phone. Occasional climbing, kneeling, reaching, the usual.