GTG Intern - Data Science
Grainger
- Location
- CHICAGO, IL, US, 60661-4555
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Salary
- $33/hr
- Posted
- Aug 21, 2026
Skills
About this role
Work Location Type: Hybrid Req Number 332746 About Grainger: W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com . Compensation: This position is hourly, and the starting pay rate is $33/hour The rate of pay provided above is not a guarantee of compensation. The rate reflects the expected base pay for this role at the time of this posting based on the job grade for this position. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Internship Overview The Grainger Technology Group (GTG) internship is a 10-week, paid program based in our downtown Chicago office where interns work across teams such as Product Engineering, Cybersecurity, Applied Machine Learning User Experience, Digital Experience Analytics, and more to help build the technology that keeps Grainger and its customers moving. As a GTG intern, you will be treated as a member of the team and contribute to meaningful work tied to real customer and business outcomes, not a separate side project. You will gain hands-on exposure to modern technology stacks, digital platforms, AI-enabled workflows, and enterprise systems while learning from experienced team members. Throughout the summer, you will also participate in networking, social, and professional development events and present the work you accomplished to senior leadership. Position Details As a Data Science Intern on the Digital Experience Analytics team, you will use statistics, modeling, experimentation, and data storytelling to help Grainger better understand digital customer behavior and improve customer-facing and enterprise digital experiences. You will partner with analytics, product, technology, and business stakeholders to frame questions, evaluate data, develop models or analyses, and translate findings into recommendations that can guide decisions. This role is ideal for someone who enjoys solving ambiguous problems, exploring large datasets, and connecting technical analysis to business impact. You will gain exposure to modern data platforms, statistical and machine learning techniques, digital analytics tools, and AI-enabled workflows while learning how data science influences product and customer experience decisions at scale. You Will
Analyze customer experience across digital channels to uncover opportunities to create value for Grainger and our customers. Work with senior analytics team members and business stakeholders to understand business needs and scope projects. Gather, clean, explore, aggregate, and analyze data from large digital and business data ecosystems. Build models, automation, tooling or AI agents for analytics that make insights easier for stakeholders to understand and act upon. Use tools and platforms such as Snowflake, Power BI, Excel, Adobe Analytics, SQL, Python, R, and AI-enabled productivity tools when appropriate. Summarize insights, implications, limitations, and tradeoffs for both technical and non-technical audiences. Partner closely with current team members on ongoing activities such as ad hoc