Graduate AI & Data Science Intern: Build & Deploy Models

hdsupply; Atlanta (GA); On-site; USD 27,552,000 - 48,216,000; Part time

Job summary

HD Supply invites graduate interns to apply advanced analytics, data science, and AI to optimize customer experiences, supply chain operations, pricing, forecasting, and enterprise processes across the organization.

The internship offers hands-on experience with enterprise-scale data, cloud environments, and real-world business challenges, working alongside experienced data scientists and engineers to translate AI concepts into measurable outcomes.

Qualifications

• Currently pursuing a Master's degree in a quantitative field such as Data Science, Analytics, ML, AI, CS, Statistics or Applied Mathematics.
• Anticipated graduation December 2027 or May 2028.
• Demonstrated coursework or research in ML/AI, predictive analytics or statistical modeling.
• Proficiency in Python, SQL, or similar analytic languages.
• Strong written and verbal communication; ability to explain complex ideas.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Support development, testing, and refinement of ML/AI models.
• Assist in data prep, feature engineering, model evaluation, and monitoring.
• Create visualizations, dashboards, reports to communicate findings.
• Collaborate with stakeholders to translate challenges into analytical solutions.
• Contribute to Generative AI and productivity initiatives.

Skills

Python

SQL

Analytical skills

Communication

Education

Master's degree in Data Science or related

Tools

Azure

AWS

Google Cloud

Job description

HD Supply invites graduate interns to apply advanced analytics, data science, and AI to optimize customer experiences, supply chain operations, pricing, forecasting, and enterprise processes across the organization.

The internship offers hands-on experience with enterprise-scale data, cloud environments, and real-world business challenges, working alongside experienced data scientists and engineers to translate AI concepts into measurable outcomes.