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Data Science Co-op - Spring 2026

Data Science Co-op - Spring 2026

Ahold DelhaizeChicago, IL, United States
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Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Co-op Program Overview :

Get an insider view of the fast-changing grocery retail industry while developing relevant business, technical and leadership skills geared towards enhancing your career. This paid Co-op experience is an opportunity to help drive business results in an environment designed to promote and reward diversity, innovation and leadership. Our mission is to create impactful early talent programs that provide cohorts with meaningful project work, learning and development sessions, and mentorship opportunities.

  • Applicants must be currently enrolled in a bachelor's or master's degree program. Applicants must be currently authorized to work in the United States on a full-time basis and be available from January 20, 2026 through June 5, 2026. We have a hybrid work environment that requires a minimum of three days a week in the office. Please submit your resume including your cumulative GPA. Transcripts may be requested at a future date.
  • Approximate 6-month Co-op session with competitive pay
  • Impactful project work to develop your skills / knowledge
  • Career assistance & mentoring in obtaining full time positions within ADUSA
  • Leadership speaker sessions and development activities
  • One-on-one mentoring in your area of interest
  • Involvement in group community service events
  • Networking and professional engagement opportunities
  • Access to online career development tools and resources
  • Opportunity to present project work to company leaders and gain executive visibility

Department / Position Description :

The Data Science - Advanced Analytics team supports the Ahold Delhaize brand and digital teams, as well as other end users, by completing advanced projects, providing models, and creating segmentations. They also act as the Subject Matter Experts for forecasting and optimization projects. The co-op will work with experienced data scientists to assess existing customer segmentations and identify opportunities for enhancements. This could include adding features to the segmentation, fine-tuning the underlying models, or optimizing the code for better performance.

Qualifications :

  • Working towards a degree in Data or Computer Science
  • Python Programming
  • PySpark is a plus
  • Familiarity with Statistical Methods
  • Familiarity with Machine Learning
  • Experience using analytical thinking and problem-solving skills
  • Demonstrated ability to communicate clearly, appropriately and effectively
  • Individual cohort pay rates vary based on location, academic year, and position.

    ME / NC / PA / SC Salary Range : $20.90 - $35.70

    IL / MA / MD Salary Range : $22.80 - $37.30

    #LI-DNI

    At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent.

    Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies.

    Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work.

    We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.

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    Data Science • Chicago, IL, United States

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