Intern - Data Engineering - Corp

Core & MainSt Louis, MO
Onsite

About The Position

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.

Requirements

  • 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.
  • Strong problem-solving and analytical skills.
  • Good communication skills with ability to explain technical findings.
  • Graduate student.
  • No more than 2 years of professional experience (excluding internships, or positions held prior to graduation).

Nice To Haves

  • 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.
  • Demonstrated superior academic performance and strong analytical skills.

Responsibilities

  • Assist in building data pipelines.
  • Experiment with machine learning models.
  • Contribute to AI-driven initiatives such as forecasting, automation, and intelligent data processing.
  • Work closely with data engineers, analytics teams, and business stakeholders to deliver proof-of-concept solutions.
  • Support the organization’s growing AI/ML capabilities.

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
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