Data Science Intern

Bunge; Chesterfield (MO); On-site; USD 28,000 - 41,000; Full time

Job summary

Bunge is seeking a Data Science Intern to contribute to its Global Economic Analysis team in the St. Louis area. You will work on predictive models, data pipelines, and high-impact projects related to global commodity markets, with a focus on agriculture and pricing trends.

The internship offers hands-on experience with modern data science methods, cloud computing, and collaboration with analysts across the company. May-August 2027 in the St.

Qualifications

• MS degree in Ag-Economics, Economics, Data Science, Statistics, CS, Finance, Engineering, or related quantitative field.
• Hands-on experience with Python and its libraries (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn) for data analysis and ML.
• Strong SQL skills for data extraction and analysis; familiarity with Git for version control.
• Self-motivated with ability to work independently in a fast-paced, collaborative environment.

Responsibilities

• Collaborate on development and refinement of predictive models (crop production, pricing, customer behavior).
• Enhance analytical data pipelines and implement optimizations using Python and cloud tools.
• Deliver a significant analytical project with a final presentation to the economic research team.

Skills

Python

Pandas

NumPy

Scikit-learn

Matplotlib

Seaborn

SQL

Git

Independent work

Education

MS in Data Science or related

Tools

Google Cloud Platform

AWS

Job description

Data Science Intern

Date: Oct 27, 2026

Location: Chesterfield, MO -Missouri, US, 63017

City : Chesterfield State : Missouri (US-MO) Country : United States (US) Requisition Number : 49027

About Bunge’s Global Economic Analysis Team:

Leveraging our inherent market intelligence is a critical component to Bunge’s success, particularly in the dynamic agricultural markets. This is the reason why Bunge has one of the large economic analysis teams in the industry. Our analysis team is comprised of over 50 analysts world ‑ wide who gather, analyze, supply and demand and other pertinent information. The global analysts work closely with global traders to help market develop market theses that drive the company’s trading and risk decisions. The team covers global grains, oilseeds, biofuels, ocean freight and livestock.

This internship is scheduled for Summer 2027 (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.

Essential Functions:

• 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

Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world.

Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status.

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 ~34,000 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

Nearest Major Market: St Louis

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