What are the responsibilities and job description for the Data Science Intern position at Bunge and Careers?
This internship is scheduled for Summer 2026 (May-August) in St. Louis MO. It offers an extraordinary opportunity to dive deep into how sophisticated economic research, powered by advanced data science, translates into actionable commercial decisions and robust risk management within a leading global agricultural trading powerhouse.
As an integral part of our Data Science team within Global Economic Analysis, you will be at the forefront of innovation, leveraging modern cloud computing tools and advanced statistical methods to extract insights from vast internal and external datasets. You'll actively contribute to the development and maintenance of critical predictive models that forecast global commodity market dynamics, including crop production, pricing trends, and customer behavior. This hands-on experience will directly advance our economic research functions worldwide, providing forecasts that influence multi-million-dollar decisions. Plus, the internship will equip you with experience of applying best-in-class data science practices to solve real-world, high-impact problems in the agricultural industry.
- Collaborate on the development and refinement of various predictive models, focusing on critical aspects like crop production forecasts, pricing trend analysis, and customer behavior insights. (Specific projects will be tailored to your skills and interests closer to the internship start, ensuring a meaningful and engaging experience).
- Take ownership in enhancing relevant analytical & data pipelines, with the potential to design and implement optimizations using Python and cloud computing tools.
- Undertake and deliver a significant analytical project related to the team's core objectives, culminating in a comprehensive final presentation to the economic research team, showcasing your achievements and insights gained throughout the internship.
Skills & Experience Requirements:
- Minimum MS degree in Ag-Economics, Economics, Data Science, Statistics, Computer Science, Finance, Engineering, or a closely related quantitative discipline.
- Hands-on experience with Python and familiarity with its essential analytical libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn) for data manipulation, statistical analysis, machine learning, and data visualization.
- Strong SQL skills for data extraction, manipulation, and analysis from relational and non-relational databases. Understand version control systems, particularly Git, for collaborative development and code management.
- Proactive self-motivation with the ability to work independently and to deliver solutions in a fast-paced, collaborative environment.
Preferred Experience/Skills:
- Experience with geospatial data analysis and deep learning for statistical modeling.
- Experience with big data technologies and cloud-based data platforms and products (e.g., Google Cloud Platform, AWS).
- Specific knowledge of agricultural commodity markets (e.g., grains, oilseeds, biofuels), agronomics, etc
At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world. As a premier agribusiness solutions provider, our team of ~37,000 dedicated employees partner with farmers across the globe to move agricultural commodities from where they’re grown to where they’re needed—in faster, smarter, and more efficient ways. We are a world leader in grain origination, storage, distribution, oilseed processing and refining, offering a broad portfolio of plant-based oils, fats, and proteins. We work alongside our customers at both ends of the value chain to deliver quality products and develop tailored, innovative solutions that address evolving consumer needs. With 200 years of experience and presence in over 50 countries, we are committed to strengthening global food security, advancing sustainability, and helping communities prosper where we operate. Bunge has its registered office in Geneva, Switzerland and its corporate headquarters in St. Louis, Missouri. Learn more at Bunge.com.
Every day our people exemplify these values, which represent Bunge at its core:
We Are One Team – Collaborative, Respectful, Inclusive- We Lead The Way – Agile, Empowered, Innovative
- We Do What’s Right – Safety, Sustainability, With Integrity
If this sounds like you, join us! We value and invest in people who believe in our purpose and are excited to live it every day – people who are #ProudtoBeBunge