AI & Data Science Intern, Digital Innovation

Ingredion Incorporated; Finderne (NJ); Híbrido; USD 30.000 - 47.000; Tempo integral

Benefícios oferecidos por esta vaga

Housing stipend

Intern coaching program

Capstone Summit access

Resumo da vaga

Ingredion Incorporated invites applications for a Digital Innovation Intern position in Bridgewater, NJ. The hybrid role blends on-site collaboration with remote work, focusing on predictive formulation, AI/ML, and data-driven tooling for scientific workflows.

Ideal candidates are enrolled in a Bachelor’s or Master’s program with Python/data analysis experience and interest in AI, LLMs, and agentic approaches to science. Transportation to the facility is required daily.

Qualificações

• Pursuing a Bachelor’s or Master’s in a relevant field (data science, CS, AI, engineering, food science, chemical engineering, bioinformatics, computational chemistry).
• Experience with Python or data analysis for research, modeling, or automation is preferred.
• Familiarity with ML/AI concepts, image analysis, or computational chemistry is advantageous.
• Ability to organize, analyze, and clearly communicate technical results to diverse audiences.

Responsabilidades

• Review literature and emerging technologies related to predictive formulation, ML, AI, and automated data capture.
• Develop tools to automate data capture, data quality checks, feature extraction, and model workflows.
• Build predictive models and virtual experiment tools to explore formulation space and visualize results.
• Summarize progress and present recommendations and a final demo to project partners.

Conhecimentos

Python

Data analysis

Model development

Workflow automation

AI/ML concepts

Formação

Bachelor’s or Master’s degree in relevant field

Descrição da vaga

Ingredion Incorporated invites applications for a Digital Innovation Intern position in Bridgewater, NJ. The hybrid role blends on-site collaboration with remote work, focusing on predictive formulation, AI/ML, and data-driven tooling for scientific workflows.

Ideal candidates are enrolled in a Bachelor’s or Master’s program with Python/data analysis experience and interest in AI, LLMs, and agentic approaches to science. Transportation to the facility is required daily.