AI & Data Science Intern - Spring 2027

AGCO•Champaign, IL
•$24 - $30

About The Position

As an AI & Data Science Intern, you will help build and enhance an AI-powered Sales Risk & Opportunity Intelligence platform for AGCO North America. You will work with large datasets and emerging technologies to develop machine learning models, intelligent business applications, and data-driven tools that identify sales risks, uncover revenue opportunities, and generate actionable recommendations for AGCO sales teams. This internship is expected to begin in January 2027 and will be a part-time opportunity (15-20 hours per week) during the Spring semester.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in a collaborative team environment.
  • Experience working with GenAI and building RAG pipelines.
  • Exposure to agentic workflows.

Nice To Haves

  • Experience with Python, SQL, and data modeling.
  • Coursework or project experience involving artificial intelligence, machine learning, predictive analytics, or data engineering.
  • Experience building applications, dashboards, APIs, or data visualization tools.
  • Experience building agentic workflows preferred but not required
  • Knowledge of cloud technologies, databases, and software development best practices.
  • Ability to communicate technical concepts to non-technical audiences.
  • Interest in agriculture, equipment technology, and data-driven business solutions.

Responsibilities

  • Support the development, testing, and validation of AI and machine learning models.
  • Design and build data pipelines, data structures, and analytical datasets.
  • Develop business applications and dashboards that deliver insights to end users.
  • Analyze sales, dealer, customer, and market data to support predictive modeling initiatives.
  • Collaborate with commercial and technical teams to translate business requirements into scalable solutions.
  • Assist with application design and user experience improvements to drive adoption.
  • Document technical processes and communicate project results to stakeholders.
  • Explore and implement innovative technologies that improve sales intelligence capabilities.

Benefits

  • We maintain a drug-free workplace and perform pre-employment substance abuse testing.
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