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Intern - Data Engineering - Corp

Job in St. Louis, Saint Louis, St. Louis city, Missouri, 63105, USA
Listing for: SwiftCruit
Apprenticeship/Internship position
Listed on 2026-06-30
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 20664 - 34440 USD Yearly USD 20664.00 34440.00 YEAR
Job Description & How to Apply Below
Location: St. Louis

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 to learn more.

Job Summary

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
    • Data analysis techniques
Preferred Qualifications
  • Experience with:
    • Python libraries (Pandas, Num Py, scikit-learn, PySpark)
    • SQL and data querying
    • Cloud platforms (Azure preferred)
    • Copilot Agents
    • Data visualization tools (Power BI or Tableau)
  • Exposure to:
    • Machine learning models (regression, classification, clustering)
    • Time series forecasting
    • 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).
HERE, we have:
  • 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

Core & Main is an Equal Employment Opportunity employer. Employment at Core & Main is based solely on a person’s merit and qualifications directly related to professional competence. Core & Main does not discriminate against any employee or applicant on the basis of race, creed, color, religion, national origin, nationality, ancestry, age, disability, veteran status, pregnancy or related condition (including breastfeeding), affectional or sexual orientation, gender identity or expression, marital status, status with regard to public assistance, citizenship, or any other basis protected by law.

None of the questions in this application are intended to elicit information regarding any protected characteristics, nor imply any limitation, illegal preferences or discrimination based upon non‑job‑related information or protected characteristics.

For more information, visit https://(Use the "Apply for this Job" box below)..gov

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