Global Supply Chain Data Science Intern

About Ingredion:

Join Ingredion, where innovation impacts lives worldwide! Without even realizing it, you’ve experienced our work in your favorite chocolate, your pet’s food, the paper you write on, and your everyday snacks. As a global powerhouse across more than 60 industries, we harness the potential of natural ingredients to transform lives. Whether you’re just starting your career or bringing years of experience, there's a place for you here to make a real difference. Be part of our team that values a wide range of perspectives and is committed to shaping a better world with every product we create.

Location: Westchester, IL

Workplace type: Hybrid

We have an exciting opportunity for an ambitious student to join our Data Science and Analytics team for the summer of 2026! As the Supply Chain Data Science Intern, you’ll play a crucial role in supporting our Global Supply Chain and Operations team. You’ll have the opportunity to work on diverse projects, providing data analysis support and driving initiatives that enhance our operations. The primary focus is to enable better decision-making by providing timely and high-quality data to leaders. This includes the development of reports and data visualizations and leveraging analytical/machine learning techniques to identify connections, uncover insights, and make recommendations to improve performance against critical KPIs for the Operations teams, including Supply Chain, Manufacturing, Quality, EHSS, and Procurement. 

What you will do:

• Take the lead or assist in exciting workstreams that might include: 

• Creating/Optimizing ML forecasts 

• Anomaly detection in reporting 

• Analyzing metric KPIs looking for potential drivers  

• Assist in collecting, cleaning, and organizing large datasets from various sources. 

• Conduct exploratory data analysis to uncover insights and trends. 

• Develop dashboards, reports, and data visualizations using Excel and Power BI. 

• Support the team in building predictive models using statistical or machine learning techniques. 

• Help identify and resolve data quality issues. 

• Collaborate with cross-functional teams to provide actionable insights. 

• Present findings to internal stakeholders clearly and concisely. 

• Presenting project findings to management with recommendations for future analysis at the end of the internship period. 

What you will bring:

• Progress towards a bachelor’s degree in Business, Operations, Computer Science, Data Science, or a related field.  

• Excellent interpersonal, verbal, and written technical communication skills, e.g., making presentations and writing technical data/reports. 

• Proficiency in Excel; familiarity with SQL, Python, or R is a plus. 

• Experience with data visualization tools (Power BI, Tableau, etc.) is preferred.  

• Ability to translate business needs into requirements and distill insights from data. 

• Reliable transportation required to get to and