Data Engineer Intern (Summer 2026)

fairlife•Chicago, IL

5d•Hybrid

About The Position

The fairlife Summer Internship Program is designed to welcome interns across our locations to gain meaningful experience and social and professional development opportunities. For 11 weeks, interns will work in one of our three locations: Chicago, IL, Coopersville, MI, or Goodyear, AZ. fairlife’s paid internship program also offers a summer full of social, professional, and community engagement events including exposure to our senior leadership and executives across the business in small group settings, insight into company initiatives, off-site field trips, and for those qualified and selected, an opportunity to pursue a full-time job opportunity. The Data Science & AI Enablement Intern will support the development, deployment, and adoption of advanced analytics and artificial intelligence solutions within the organization. This role provides hands-on experience in preparing, analyzing, and managing data while contributing to real-world projects that improve decision-making, automation, and efficiency. The intern will collaborate with cross-functional teams to explore use cases, prototype models, and help enable data-driven capabilities across the business.

Requirements

Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field.
Foundational knowledge of Python, R, or SQL for data analysis and scripting.
Familiarity with machine learning concepts and libraries.
Basic understanding of data visualization tools (Power BI, Tableau, or similar).
Strong analytical and problem-solving skills with attention to detail.
Ability to communicate technical findings clearly to non-technical stakeholders.
Curiosity and willingness to learn new tools, techniques, and business processes.
Must be currently enrolled in a four-year undergraduate degree program, entering the Fall semester, post internship, as a senior.
Cumulative GPA of 3.0/4.0, or higher.
Ability to handle ambiguity and work in a fast paced, entrepreneurial environment.
Proficiency in English: Comfortable with both written and verbal communication, including reading and writing.

Responsibilities

Support the development, deployment, and adoption of advanced analytics and artificial intelligence solutions.
Prepare, analyze, and manage data for real-world projects.
Collaborate with cross-functional teams to explore use cases and prototype models.
Enable data-driven capabilities across the business.