GTG Intern - Data Science

Grainger is a broad-line distributor serving customers through products, solutions, technology, and customer relationships. The Data Science Intern will analyze digital customer behavior, develop models and experiments, and translate findings into recommendations that improve digital and enterprise customer experiences. The role partners with analytics, product, technology, and business stakeholders and presents insights to technology leaders.

What you'll do:

• 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 analysis, A/B testing, troubleshooting, and measurement planning
• Learn how a modern analytics team operates and how data influences digital products, customer experience, and technology decisions
• Demonstrate ownership, curiosity, adaptability, and critical thinking while contributing as part of the team
• Present your work, impact, and key learnings to technology leaders at the end of the internship

What they're looking for:

• Currently pursuing a degree in quantitative fields such as Data Science, Statistics, Mathematics, Engineering, Analytics, Operations Research, Economics, Computer Science, or a related field
• Expected graduation with a bachelor's degree between December 2026 and June 2027; current enrollment in a Masters program is preferred
• Evidence of self-directed learning, project work, case competitions, internships, coursework, or other experiences using data to solve problems
• General knowledge of analytics, statistics, or data science and the curiosity to explore large data ecosystems in a business context with an interest in digital customer behavior and customer experience measurement
• Experience coding for data science or analytics applications; Python or R preferred
• Experience with statistical modeling or machine learning techniques such as regression, classification, clustering, natural language processing, time-series modeling, or experimentation
• Knowledge of database design and logic (e.g. Teradata, Snowflake), with the ability to build queries in SQL or similar query languages
• Ability to explain technical decisions, compare approaches, and describe the tradeoffs behind models, tools, or methods
• Ability to communicate clearly through written summaries, visualizations, presentations, and stakeholder conversations
• Willingness to use AI and analytics tools thoughtfully while validating outputs and explaining assumptions
• Strong collaboration skills to effectively work with partners across analytics, product, technology, and business teams
• Cumulative GPA of 3.2 or higher

Benefits:

• Hybrid work location type
• 10-week, paid program based in our downtown Chicago office
• Networking, social, and professional development events
• Hands-on exposure to modern technology stacks, digital platforms, AI-enabled workflows, and enterprise systems
• Learning from experienced team members
• Present the work you accomplished to senior leadership