Analytics and AI Solutions Intern

Organic Valley
Town of Portland, Wisconsin, United StatesPosted Sep 14, 2026
Summer 2027

About the role

Analytics and AI Solutions Intern

2027 Summer Internship: May 31, 2027 - August 20, 2027 Location – This is a hybrid role, which means that you will have the flexibility to work both onsite and at a distance. You will collaborate onsite at our Cashton, WI office for 3-5 days per week, and the rest of the time you can choose to work remotely or onsite. Employee Type – Hourly Safety Sensitive – No

As an intern, you'll have the opportunity to contribute to meaningful work that supports this mission while gaining valuable hands-on experience. Beyond day-to-day projects, our internship program offers professional development opportunities, networking events with leaders across the cooperative, community involvement experiences, and connections with fellow interns. It's a chance to grow your skills, make an impact, and be part of an organization dedicated to creating a healthier future for people, animals, and the planet.

Summary of Role The Analytics and AI Solutions Intern will support active software, reporting, and analytics projects using AI-assisted development tools and techniques. Working with software engineers, analytics engineers, and internal stakeholders, the intern will analyze identified needs, translate them into development-ready specifications, and build and test clearly scoped technical solutions. This role is designed for a strong analytical problem solver who is interested in using AI tools to build software, reporting, analytics, and automation solutions. Prior coding experience is preferred but less important than the ability to structure problems, evaluate results, learn technical concepts, and improve solutions through iteration. Essential Duties and Responsibilities Product Analysis and Development Specification

  • Analyze identified business and user needs, including workflows, business rules, data requirements, dependencies, and exceptions.
  • Translate analysis into development-ready requirements, technical context, manageable tasks, and ac

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