Intern - AI/ML Data Engineering - Onsite - St. Louis

Job Summary

Based in St. Louis, Core & Main is a leader in advancing reliable infrastructure™ with local service, nationwide®. As a specialty distributor with a focus on water, wastewater, storm drainage and fire protection products and related services, Core & Main provides solutions to municipalities, private water companies and professional contractors across municipal, non-residential and residential end markets, nationwide. With over 370 locations across the U.S., the company provides its customers local expertise backed by a national supply chain. Core & Main’s 5,700 associates are committed to helping their communities thrive with safe and reliable infrastructure. Visit coreandmain.com to learn more.

About the Role

St. Louis, MO Onsite. The AI/ML Intern will support the Data Engineering team in developing and applying machine learning and artificial intelligence solutions that enhance business operations, analytics, and decision-making. This role will assist in building data pipelines, experimenting with machine learning models, and contributing to AI-driven initiatives such as forecasting, automation, and intelligent data processing. The intern will work closely with data engineers, analytics teams, and business stakeholders to deliver proof-of-concept solutions and support the organization’s growing AI/ML capabilities.

Qualifications

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
• Basic understanding of programming (Python preferred)
• Foundational knowledge of statistics and machine learning concepts
• Foundational knowledge of data analysis techniques

Preferred Qualifications

• Experience with Python libraries (Pandas, NumPy, scikit-learn, PySpark)
• Experience with SQL and data querying
• Experience with cloud platforms (Azure preferred)
• Experience with Copilot Agents
• Experience with data visualization tools (Power BI or Tableau)
• Exposure to machine learning models (regression, classification, clustering)
• Exposure to time series forecasting
• Exposure to data pipelines or ETL/ELT processes
• Familiarity with Git or version control
• Strong problem-solving and analytical skills
• Good communication skills with ability to explain technical findings

Preferably, YOU have

• Demonstrated superior academic performance and strong analytical skills
• Graduate student
• No more than 2 years of professional experience (excluding internships, or positions held prior to graduation)

Benefits

• Medical with 100% preventative care coverage
• Health Savings Account
• Dental and Vision
• 401K
• Tuition reimbursement and tuition grants
• Continued learning opportunities through our onsite training facility and extensive online learning catalog
• Professional development and industry networking opportunities, e.g., our Women’s Network and community engagement events