AI & Data Scientist Intern — Hybrid, Impact-Driven

Ingredion; Westchester (IL); Hybrid; USD 28,000 - 34,000; Part time

Benefits offered by this job

Housing stipend

Mentor program

Capstone Summit at Ingredion HQ

Job summary

Ingredion is seeking an AI & Data Scientist Intern to assist in designing and deploying scalable AI/ML solutions across functions. You will work with a team of engineers, data scientists, and analysts to translate business needs into actionable models and insights.

The role emphasizes collaboration, learning, and real-world impact on products and processes, with hybrid work in Westchester, IL and a focus on innovation within diverse teams.

Qualifications

• Enrolled in a Bachelor's or Master's program in a relevant field.
• Academic experience in AI/ML engineering or related roles.
• Proficiency in one or more AI/ML languages and frameworks.
• Experience with large datasets and modern ML tooling.

Responsibilities

• Build prototype AI/ML solutions to address business problems.
• Translate requirements from demand planning, manufacturing, and yield management into models.
• Review and advise on AI/ML frameworks and platforms.
• Document best practices and deployment processes.
• Collaborate with data engineers, data scientists, and stakeholders.
• Monitor performance and propose improvements.
• Research new AI/ML techniques and apply them to problems.

Skills

AI/ML engineering

Python

SQL

Cloud platforms

Communication

Education

Bachelor's or Master's in Data Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

GCP

Job description

Ingredion is seeking an AI & Data Scientist Intern to assist in designing and deploying scalable AI/ML solutions across functions. You will work with a team of engineers, data scientists, and analysts to translate business needs into actionable models and insights.

The role emphasizes collaboration, learning, and real-world impact on products and processes, with hybrid work in Westchester, IL and a focus on innovation within diverse teams.