Graduate Intern, Artificial Intelligence & Data Science - Summer 2027

HD Supply

Hours: Full time
Where: Atlanta-GA-US
Apply by: End Date: October 5, 2026
Posted: Sep 2

HD Supply is seeking a Graduate Intern, Artificial Intelligence & Data Science to support strategic initiatives that leverage advanced analytics, machine learning, and artificial intelligence to drive business performance and innovation across the enterprise.

As one of the largest industrial distributors in North America, HD Supply relies on data-driven decision-making to optimize customer experiences, supply chain operations, inventory management, pricing, forecasting, and enterprise processes. This internship provides an opportunity for graduate students to apply advanced analytical and technical skills to real-world business challenges while working alongside experienced data scientists, AI practitioners, engineers, and business leaders.

The Graduate AI & Data Science Intern will contribute to projects involving predictive analytics, machine learning models, generative AI, intellige…

What you'd do

Analyze large and complex datasets to identify trends, opportunities, and business insights.
Support the development, testing, and refinement of machine learning and AI models.
Assist in data preparation, feature engineering, model evaluation, and performance monitoring.
Develop visualizations, dashboards, reports, and presentations to communicate findings.
Partner with business stakeholders to understand challenges and translate them into analytical solutions.
Contribute to Generative AI and Agentic AI initiatives focused on automation and productivity.
Document methodologies, assumptions, findings, and recommendations.
Present project outcomes and insights to technical and non-technical audiences.
Prepares and delivers insights and recommendations based on analyses.
Produces findings and draws conclusions from analyses. Makes oral and written recommendations to management.

What they want

Currently pursuing a Master's degree in Data Science, Analytics, Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field.
Anticipated graduation date of December 2027 or May 2028.
Demonstrated academic experience in machine learning, artificial intelligence, predictive analytics, statistical modeling, or advanced data analysis.
Proficiency in Python, SQL, or other analytical programming languages.
Strong analytical, quantitative, and problem-solving skills.
Strong written and verbal communication skills with the ability to explain complex concepts to diverse audiences.
Ability to work independently and collaboratively in a team environment.

Starts: 2026-09-02