Guardian Summer 2027 Digital Technology & Data Intern

Koch•Auburn Hills, MI

3d•Onsite

About The Position

Guardian Industries (a Koch Company) is seeking Digital Technology & Data Interns to join our team this coming Summer 2027 in Auburn Hills, MI. Koch Industries has a variety of companies that work in many industries and create thousands of essential products. Guardian Industries manufactures high-performance, energy-efficient glass for homes and buildings. Koch has been consistently selected as one of the "100 Best Internships" in the U.S. by WayUp. The internship opportunity will be a 12-week program running from late-May to early August 2027. Koch Industries is undergoing a rapid digital transformation, investing in multi-million-dollar initiatives that turn data into real business value. As an intern on the Advanced Analytics, Data Management, or AI Development teams, you will help build this transformation. You will work alongside experienced data scientists, analytics engineers, and business partners who are solving complex, high-impact problems across manufacturing, operations, and commercial functions. This internship is designed to help you discover where your interests and strengths align, whether that’s data analytics, data science, data engineering, machine learning, AI, or emerging areas like agentic automation. You will gain hands-on experience with modern analytics tools, real production data, and projects that matter, while developing skills that prepare you for a future career in advanced analytics.

Requirements

Currently enrolled in a degree or certificate program related to one of the following areas: Data Science, IT, Data Analytics, Computer Science, Economics, or Mathematics
Eligible for full-time employment by summer 2029
Able to work in the US without sponsorship

Responsibilities

Supporting the development of advanced analytics and machine learning models that improve operational performance, quality, reliability, and decision-making
Exploring and analyzing large, complex datasets to uncover insights, trends, and opportunities for improvement
Building or enhancing data visualizations and dashboards that translate analytics into clear, actionable insights for business and operations leaders
Assisting with data pipelines and feature engineering, helping ensure data is reliable, scalable, and ready for analytics use
Collaborating with cross-functional teams to understand real business problems and help translate them into analytics-driven solutions
Experimenting with AI and GenAI tools to accelerate data exploration, code development, insight generation, documentation, and analytical storytelling while improving workflow efficiency
Documenting your work and communicating findings through clear storytelling and presentations