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Data Science Summer Intern

Job in Grand Rapids, Kent County, Michigan, 49528, USA
Listing for: Steelcase Inc.
Full Time, Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-10-07
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Machine Learning/ ML Engineer, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 18 - 22 USD Hourly USD 18.00 22.00 HOUR
Job Description & How to Apply Below

Office

Location:

901 44th Street SE - - - Grand Rapids
-Michigan -

Date posted: 25-Sep-2026

Business Function: Information Technology

Position Type: Intern

Description

Who You Are
  • Are you excited by the opportunity to use data, technology, and problem-solving skills to tackle real-world business challenges?
  • Do you enjoy learning new technologies, collaborating with others, and continuously growing both your technical and professional skills?
  • Are you naturally curious, adaptable, and motivated to turn complex problems into actionable solutions?
Helping You Thrive By
  • Competitive compensation and meaningful work that provides hands‑on experience while helping you grow your skills and explore your career interests.
  • Housing and relocation support for eligible interns, making it easier to focus on your experience and make the most of your summer with Steelcase.
  • Wellbeing resources designed to support you, including access to our Wellbeing Hub, onsite health services at our Grand Rapids headquarters, and additional wellness offerings throughout the year.
  • Continuous learning and development opportunities through professional development sessions, networking events, and exposure to leaders across the organization.
  • Mentorship and connection opportunities that help you build meaningful relationships, expand your network, and gain insights from experienced professionals across Steelcase.
  • An inclusive culture where everyone belongs, fostering an environment where people feel valued, respected, and empowered to contribute their unique perspectives.
  • The opportunity to make a lasting impact through work that helps create better experiences for people and supports Steelcase's commitment to a more sustainable future.
You’ll Support Meaningful Work By
  • Analyzing complex business challenges and developing actionable, data‑driven solutions that support business objectives.
  • Applying programming, data analysis, visualization, and data science tools to generate insights and solve real‑world business problems.
  • Collaborating with cross‑functional teams, mentors, and business partners to deliver project outcomes within an agile, global IT environment.
  • Contributing to team initiatives, project backlogs, and technology‑focused projects that create value across the organization.
  • Expanding technical and professional capabilities through hands‑on learning, mentorship, networking opportunities, and peer collaboration.
Minimum Qualifications
  • Currently pursuing an undergraduate or graduate degree from an accredited institution.
  • Actively enrolled in a degree‑seeking program at the time of application and throughout the internship.
  • Experience with one or more programming languages such as Python, R, C#, C++, Java, or similar technologies.
  • Preferred academic standing for this position:
    Rising Sophomore, graduating Winter 2028 or Spring 2029.
  • Reliable transportation to and from assigned work locations.
  • Applicants must be authorized to work in the United States on a full‑time basis. The company will not offer sponsor ships or work visas now or in the future for this role
Desired Skills & Experience
  • Interest in applying data science, analytics, engineering, or technology solutions to solve business challenges.
  • Demonstrated analytical thinking, problem‑solving ability, and the ability to translate data into actionable insights.
  • Ability to manage project work with evolving requirements and ambiguity while adapting to changing priorities.
  • Curiosity, learning agility, and a desire to continuously develop technical and professional skills.
  • Exposure to machine learning, data visualization, cloud technologies, big data tools, software development, or related technical disciplines.
  • Preferred majors include Computer Science, Computer Engineering, Computer…
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