Digital Innovation Intern

Digital Innovation Intern

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:

Bridgewater, NJ

Workplace type:
Hybrid (3 days/week on-site)

We have an exciting opportunity for an ambitious student to join our R&D team for summer 2027! As the Digital Innovation Intern, you will help accelerate the adoption of predictive formulation and digital innovation capabilities across our organization. Working closely with formulation scientists and digital innovation leaders, you will explore leading academic approaches and develop practical digital tools for automated data capture, data quality assessment, feature extraction, predictive modeling, and virtual experimentation.

Your work may include converting food or microscopy images into quantitative measurements, creating machine-learning descriptors from molecular structures, developing AI-powered workflows, and applying large language models (LLM) and agentic approaches to scientific data analysis and knowledge extraction!

• Review academic literature, open-source methods, and emerging technologies relevant to predictive formulation, machine learning, artificial intelligence, agentic systems, automated data capture, image analysis, and computational chemistry.
• Develop digital tools that automate data capture, data quality assessment, feature extraction, data preparation, and model development workflows.
• Build predictive models and create virtual experiment tools that allow scientists to explore formulation space and visualize predicted results.
• Explore and implement AI, LLM and agentic approaches to support scientific knowledge extraction, data interpretation, experiment planning, and workflow automation.
• Design reusable code base and create clear technical documentation, user guides, and examples that support future predictive modeling projects.
• Summarize progress, communicate results to project partners, and present recommendations and a final demonstration at the completion of the internship.

• Progress towards a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Engineering, Food Science, Chemical engineering, Bioinformatics, Computational Chemistry or a related field.
• Experience using Python or other data descriptive languages for data analysis, model development, workflow automation, or scientific research.
• Familiarity with one or more of the following areas are preferred:
  • Machine learning and predictive modeling
  • Artificial Intelligence, LLMs or agentic approaches
  • Image analysis and computer vision
  • Computational chemistry
  • Data visualization and dashboard development
  • Design of experiments and statistical analysis
• Ability to organize, analyze, and interpret scientific data and communicate technical results clearly to both technical and non-technical audiences.
• Reliable transportation required to get to and from facility each work day.

• Curious and passionate to apply data science and digital technologies to solve scientific challenges.
• Collaborative and comfortable working with people from different technical backgrounds.
• A practical problem-solver who takes initiative and delivers results.

• Currently possess unrestricted authorization to work in the United States. Ingredion does not intend to sponsor work visas with respect to this position or to provide this position as OPT or CPT.
• Be a currently enrolled student in a Bachelor's or Master's degree program. If currently enrolled in an undergrad status, must have completed at least two years of coursework with status as a sophomore, junior or…