About the role#
This internship places you within the Global Economic Analysis team in St. Louis. You will work alongside researchers and traders to apply data science to agricultural commodity markets. The role focuses on building predictive models and improving data pipelines to support commercial decisions. You will complete a significant analytical project and present your findings to the research team at the end of the summer.
What you'll do#
- Build and refine predictive models for crop production, pricing trends, and customer behavior.
- Improve analytical and data pipelines using Python and cloud computing tools.
- Design and implement system optimizations.
- Deliver a major analytical project and present the results to the economic research team.
What you'll need#
- A minimum of an MS degree in Ag-Economics, Economics, Data Science, Statistics, Computer Science, Finance, Engineering, or a related quantitative field.
- Hands-on experience with Python and libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, or Seaborn.
- Proficiency in SQL for data extraction and manipulation.
- Familiarity with Git for version control.
- Ability to work independently and maintain self-motivation.
- Preferred: Experience with geospatial data analysis, deep learning, big data technologies, and cloud platforms like GCP or AWS.
- Preferred: Knowledge of agricultural commodity markets or agronomics.
Location & details#
- Location: St. Louis, Missouri.
- Term: Summer 2027 (May to August).
- Modality: On-site.
- Status: Full-time and paid internship.
About Bunge
Bunge operates as a food and beverage manufacturing company focused on the movement of agricultural commodities. The business connects farmers to consumers by providing grain origination, storage, and distribution services. It processes oilseeds and produces a portfolio of plant-based oils, fats, and proteins. The company maintains a global presence in over 50 countries with its corporate headquarters located in Chesterfield, Missouri.
How to get in at Bunge
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