Graduate AI & Data Science Intern: Build Analytics

HD Supply Management, LLC (USA); Atlanta (GA); On-site; USD 28,000 - 41,000; Full time

Job summary

HD Supply invites graduate students for a Graduate Intern, Artificial Intelligence & Data Science, to apply advanced analytics, ML/AI, and data science techniques across the enterprise. You will work with data across departments, build models, and present insights to both technical and business audiences.

Gain exposure to enterprise datasets, cloud environments, and real-world AI applications while contributing to predictive analytics, generative AI, and automation initiatives in a large MRO

Qualifications

• Pursuing a Master's in Data Science or related field; anticipated graduation Dec 2027 or May 2028.
• Experience with ML/AI concepts, predictive analytics, and data analysis.
• Proficiency in Python, SQL, or similar analytical languages.
• Strong analytical, communication, and problem-solving skills.

Responsibilities

• Analyze large, complex datasets to identify trends and insights.
• Develop, test, and refine machine learning and AI models.
• Prepare data, engineer features, and evaluate models.
• Create visualizations, dashboards, and presentations.
• Collaborate with stakeholders to translate challenges into analytical solutions.
• Contribute to Generative AI and agentic AI initiatives.
• Document methodologies, findings, and recommendations.
• Present outcomes to technical and non-technical audiences.

Skills

Python

SQL

Analytical thinking

Communication skills

Teamwork

Education

Master's degree in Data Science or related field

Tools

Azure

AWS

Google Cloud

Power BI

Tableau

LLMs familiarity

Job description

HD Supply invites graduate students for a Graduate Intern, Artificial Intelligence & Data Science, to apply advanced analytics, ML/AI, and data science techniques across the enterprise. You will work with data across departments, build models, and present insights to both technical and business audiences.

Gain exposure to enterprise datasets, cloud environments, and real-world AI applications while contributing to predictive analytics, generative AI, and automation initiatives in a large MRO