AI and Data Science Intern – Spring 2027

AGCO; Champaign (IL); On-site; USD 33,000 - 41,000; Part time

Job summary

AGCO in Champaign, IL is seeking an AI & Data Science Intern to help build an AI-powered Sales Risk & Opportunity Intelligence platform for AGCO North America. You will work with large datasets to develop machine learning models, data pipelines, and dashboards that generate actionable recommendations for sales teams.

This part-time internship (15-20 hours per week) is expected to begin in January 2027. You will collaborate with commercial and technical teams, contribute to model validation, and

Qualifications

• 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.

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.

Skills

Analytical thinking

Team collaboration

GenAI

Agentic workflows

Education

Bachelor’s or Master’s degree in CS/DS/AI/ML/SE

Tools

Python

SQL

Data modeling

Job description

Location: Champaign, IL

Workplace Type: Onsite

Not everyone can claim to feed the world, but it is part of our every day. Behind everything we do for our farmers, there is one AGCO team making it happen. We are proud to put our curiosity to work, building a better and more sustainable world. Join our extraordinary team today!

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.

Your Impact

• 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.

Your Experience and Qualifications

• 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.

Preferred Qualifications

• 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.

Compensation

This position will pay within the range of $24-$30 per hour , based on experience.

Equal Opportunity Statement

We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures, and perspectives.