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Data Science & AI Enablement Intern

Data Science & AI Enablement Intern

fairlife LLCChicago, IL, United States
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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 .

about our internship program :

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 fairlife 2026 Summer Internship Program will take place from 5 / 28 through 8 / 11 at the fairlife location specified in this job description.

job purpose : 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.

skills / qualifications required :

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  • Currently pursuing a Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or related field
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">
  • Foundational knowledge of Python, R, or SQL for data analysis and scripting
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">
  • Familiarity with machine learning concepts and libraries
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">
  • Basic understanding of data visualization tools (Power BI, Tableau, or similar)
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">
  • Strong analytical and problem-solving skills with attention to detail
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  • Ability to communicate technical findings clearly to non-technical stakeholders
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">
  • Curiosity and willingness to learn new tools, techniques, and business processes
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1">
  • Must be currently enrolled in a four-year undergraduate degree program, entering the Fall semester, post internship, as a senior.
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1">
  • Cumulative GPA of 3.0 / 4.0, or higher
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  • Ability to handle ambiguity and work in a fast paced, entrepreneurial environment
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="11" data-aria-level="1">
  • Proficiency in English : Comfortable with both written and verbal communication, including reading and writing.
  • learning objectives :

  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="12" data-aria-level="1">
  • Gain practical experience in building and deploying AI / ML models in a business environment
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">
  • Learn how to clean, prepare, and manage large datasets for advanced analytics
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="14" data-aria-level="1">
  • Understand how data science is applied in real-world CPG / manufacturing / enterprise settings to drive measurable business outcomes
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="15" data-aria-level="1">
  • Develop skills in using cloud and enterprise platforms for AI / ML enablement
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="16" data-aria-level="1">
  • Enhance communication and storytelling skills by translating data insights into actionable recommendations
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="17" data-aria-level="1">
  • Experience working within a collaborative, cross-functional data team environment
  • ","469777815" : "hybridMultilevel"}" data-aria-posinset="18" data-aria-level="1">
  • Build a portfolio of project contributions that demonstrate applied data science and AI enablement skills
  • internship location : Chicago, IL

    schedule : Hybrid, with 3 days on-site matching team schedule

    internship duration : 5 / 28 through 8 / 11

    reports to : Sr. Manager, Data Engineering or Sr. Data Scientist

  • Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and / or other benefits, dependent on the position, is offered.
  • Base pay range : $28 — $28 USD

    fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.

    In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email careers@fairlife.com .

    For Recruitment Agencies

    At fairlife, we manage the majority of our hiring internally through our dedicated Talent Acquisition team, which is actively engaged in direct candidate sourcing. Most of our roles are filled through applications submitted via our careers site or through direct outreach by our team.

    As our recruitment is primarily handled in-house, we work only occasionally with external agencies, and only those on our existing, pre-approved vendor list. At this time, we are not reviewing or expanding that list.

    Unsolicited resumes or submissions from external agencies not authorized by our Talent Acquisition team will be considered direct candidate applications. As such, fairlife will not assume responsibility for any placement fees associated with these submissions.

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