Graduate AI & Data Science Intern — Drive Insightful Analytics

HD Supply Canada, Inc; Atlanta, Northern (GA, KY); Hybrid; USD 28,000 - 41,000; Full time

Job summary

HD Supply seeks a Graduate Intern in Artificial Intelligence & Data Science to support strategic analytics initiatives across the enterprise. You will work with data scientists, engineers, and business leaders on predictive analytics, ML models, generative AI, and intelligent automation in cloud environments.

You will gain hands-on experience with enterprise-scale datasets, develop dashboards, and present insights to technical and non-technical audiences, contributing to measurable business

Qualifications

• Currently pursuing a Master’s degree in Data Science, Analytics, ML, AI or related quantitative field with anticipated graduation Dec 2027 or May 2028.
• Demonstrated academic experience in ML, AI, predictive analytics, or advanced data analysis.
• Proficiency in Python, SQL, or other analytical languages.
• Strong analytical, quantitative, problem-solving, and communication skills.

Responsibilities

• Analyze large and complex datasets to identify trends and insights.
• Support development, testing, and refinement of ML/AI models.
• Prepare data, engineer features, evaluate models, and monitor performance.
• Develop visualizations, dashboards, and presentations for stakeholders.
• Partner with business teams to translate challenges into analytical solutions.
• Contribute to Generative AI and agentic AI initiatives for automation and productivity.
• Document methodologies, findings, and recommendations.

Skills

Python

SQL

Analytical

Communication

Independent work

Education

Master's in Data Science

Tools

Azure

AWS

Google Cloud

Power BI

Tableau

Job description

HD Supply seeks a Graduate Intern in Artificial Intelligence & Data Science to support strategic analytics initiatives across the enterprise. You will work with data scientists, engineers, and business leaders on predictive analytics, ML models, generative AI, and intelligent automation in cloud environments.

You will gain hands-on experience with enterprise-scale datasets, develop dashboards, and present insights to technical and non-technical audiences, contributing to measurable business