Job Description

84.51°

Data Scientist – Intern Program

Location Option(s): Cincinnati, OH

This program requires you to be in the office 40 hours a week; there are no remote options.

Program Duration: May 26, 2026 – July 31, 2026

This is a strict start and end date; must be available for the entire program duration – we will not accommodate dates outside of this.

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United Stated and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

SUMMARY :

As data scientists, we are a connected community of practice that enables the business teams with which we collaborate to understand the Kroger customer and act on their behalf. We bring an integrated, 360° view of our customer, allowing us to anticipate their needs, enable better business decisions, and make peoples’ lives easier. As a result, we grow loyalty to Kroger and CPG brands.

The Data Scientist Internship is a 10-week, full-time paid intern position that will allow you to gain work experience and learn about 84.51°— what we do and how we do it. This exciting program gives you the opportunity to participate in a learning experience where you will work collaboratively with 84.51° employees to complete a challenging live project that adds value to our business. It also gives you the opportunity to build strong bonds with all the other Interns as well as network with our 84.51° community.

INTERN PROGRAM:

The Intern Program duration is strictly the dates outlined at the top (interns cannot start or end early or late). Data Science roles are open in our Cincinnati, OH Headquarters office. Interns are matched with a manager and mentor, both Data Scientists, to support them during the program. Interns should expect to work in the office Monday-Friday, 40 hours per week, typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager upon starting. Interns should not have conflicts such as classes or other employment during the 84.51° workday.

84.51° is divided into two models made up of cross-functional teams: the Kroger model and the Commercial model. These models are named for their core stakeholders and priorities, and data scientists play a critical part in the success of these cross-functional teams. All Data Science interns will be given a project and be assigned to one of our specific Data Science groups aligned to one of our business teams.

As a Data Science Intern, you are assigned to and embedded within one of our business teams. You will then leverage our vast amount of first party data to develop new methodologies and/or insights – allowing us to understand customers better than anyone else. Your internship project will enable our clients to have the right strategy and drive better execution for areas such as customer loyalty, pricing, promotions, assortment, new product innovation, digital media, local marketing, and direct-to-consumer communications.

Upon completion of the 10-week internship, if we believe you met objectives while demonstrating our 84.51° values, you will be offered a position to join us full-time as part of 84.51°’s Development Program upon graduation (or offer another Internship if you have another summer before graduating).

WHAT DATA SCIENCE MEANS TO US:

All Data Scientists will join a community of learners, problem solvers, and collaborators. We hire Data Scientists with a variety of skillsets to align with the diverse body of analytical work across the business. A candidate’s data science aptitudes will vary based on background and prior experience, bringing a unique set of skills to the table.

Data Scientists at 84.51° are not “one size fits all.” There are common skills all Data Scientists possess which we teach and reenforce such as Python/PySpark, but we also value skills that run the gamut from storytelling to data munging to machine learning & artificial intelligence. Our definition of Data Science is robust, and you may have broad responsibilities ranging from building data pipelines, surfacing actionable insights for clients through applied analytics, and machine learning model creation and deployment. Some Data Science roles may incorporate all these skillsets while others may be more focused on insight generation or data curation instead of machine learning and statistical analysis. We value candidates who have a desire to build a breadth of experience across the 84.51° and Kroger businesses. As you develop your strengths over time, and hone your interests, various career paths become available to grow your career at 84.51°.

QUALIFICATIONS, SKILLS, AND EXPERIENCE WE VALUE :

• Working towards a bachelor’s degree or higher from a four-year accredited university in Economics, Statistics, Mathematics, Computer Science, Market Research, Business Analytics, Information Systems, Data Science, or another heavily quantitative program. We also consider applicants from other degree fields given prior internship or project experience related to data science and analytics.


• Graduating May/June 2028 or sooner - must be current student at time of internship


• An interest in and experience writing efficient and scalable coding (Python, R, SQL, Spark, etc.). Our primary languages are PySpark and Python, though we value any coding experience you may have background in when applying


• Familiarity with version control and/or process improvement and automation (GitHub)


• Experience with data visualization, storytelling, and communicating with diverse business audiences


• Familiarity with theory and application of multiple machine learning techniques (logistic regression, clustering, etc.) and statistical measurement capabilities (Test/Control Methodologies)


• Strong business and commercial acumen with the ability to translate technical concepts for non-technical audiences and link analysis to business impact


• Natural curiosity that welcomes and embraces change and willingness to try new things and to fail


• Exposure or experience with generative AI technologies, with the interest & ability to leverage these tools to enhance data-driven insights and develop innovative solutions


• Interest in working on teams with cross-functional partners such as consultants, engineering, and product owners

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