Data Engineer Intern (Summer 2026)

United States·Chicagoentry

OtherData Engineer Intern

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Requirements Summary

Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field Foundational knowledge of Python, R,

Technical Tools

OtherData Engineer Intern

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.

With over $3B in annual retail sales, fairlife’s portfolio of delicious, lactose-free, real dairy products includes: fairlife® ultra-filtered milk; Core Power® High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife® nutrition plan™, a nutrition shake to support the journey to better health.

A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.

To learn more about fairlife and its complete line of products, please visit fairlife.com.

Requirements

~1 min read

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.

Gain practical experience in building and deploying AI/ML models in a business environment
Learn how to clean, prepare, and manage large datasets for advanced analytics
Understand how data science is applied in real-world CPG/manufacturing/enterprise settings to drive measurable business outcomes
Develop skills in using cloud and enterprise platforms for AI/ML enablement
Enhance communication and storytelling skills by translating data insights into actionable recommendations
Experience working within a collaborative, cross-functional data team environment
Build a portfolio of project contributions that demonstrate applied data science and AI enablement skills