Digital Innovation Intern
Core
Accelerate adoption of predictive formulation and digital innovation capabilities by developing AI-powered tools for automated data capture, feature extraction, and virtual experimentation in food science.
Role type
Summer intern (Data Science/AI applied to Food Science)
Builds
Digital tools for automated data capture, predictive models, and virtual experiment tools for formulation scientists
Domain
Food Science / Computational Chemistry / AI
Deliverable
production ML models | product features
Required skills
Python, data analysis, model development, workflow automation, scientific data interpretation
Preferred skills
Machine learning, predictive modeling, LLMs, agentic approaches, image analysis, computer vision, computational chemistry, data visualization, design of experiments
Technologies
Python, LLMs, agentic systems
Responsibilities
Review academic literature on emerging AI/ML methods; Develop digital tools to automate data capture and model workflows; Build predictive models and virtual experiment tools; Implement AI/LLM approaches for knowledge extraction; Design reusable code bases and technical documentation; Summarize progress and present final demonstration
Seniority
Intern (Student)
