AI & Data Science Intern: Predictive Sales Insights

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

Job summary

AGCO Corporation is seeking an AI & Data Science Intern in Champaign, IL to help build an AI-powered Sales Risk & Opportunity Intelligence platform for North America. You will work with large datasets, develop ML models, and create data-driven tools to identify sales risks and revenue opportunities.

The internship begins January 2027 and is a part-time role (15–20 hours per week) during the Spring semester, with responsibilities spanning data pipelines, dashboards, and collaboration with

Qualifications

• Currently pursuing a Bachelor's or Master's degree in CS/DS/AI or related field.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a team environment.
• Experience with GenAI and building RAG pipelines.

Responsibilities

• Support development, testing, and validation of AI/ML models.
• Design data pipelines, structures and analytical datasets.
• Build dashboards and business applications delivering insights.
• Analyze sales, dealer and market data to support predictive modeling.
• Collaborate with teams to translate requirements into scalable solutions.
• Assist with application design and user experience improvements.
• Document processes and communicate results to stakeholders.
• Explore innovative technologies to improve sales intelligence.

Skills

GenAI

RAG pipelines

Team collaboration

Data analysis

Python

SQL

Education

Bachelor's or Master's in Computer Science/Data Science/AI

Tools

Python

SQL

Cloud platforms

Job description

AGCO Corporation is seeking an AI & Data Science Intern in Champaign, IL to help build an AI-powered Sales Risk & Opportunity Intelligence platform for North America. You will work with large datasets, develop ML models, and create data-driven tools to identify sales risks and revenue opportunities.

The internship begins January 2027 and is a part-time role (15–20 hours per week) during the Spring semester, with responsibilities spanning data pipelines, dashboards, and collaboration with