Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Chesterfield, MO -Missouri, US, 63017
Actively hiring, first seen by us 8 days agoJob title: Data Science Intern (Chesterfield, MO -Missouri, US, 63017)
Help develop and refine predictive models for crop production, pricing trends and customer behavior
Improve analytical and data pipelines, possibly with Python and cloud tools
Complete a significant analytical project and present findings to the economic research team
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.
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
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.
At Bunge (NYSE: BG), our purpose is to connect farmers to consumers to deliver essential food, feed and fuel to the world.
In the employer’s words · Read in context
Actively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 8
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
28 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
- 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.
- 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
Complete your application on jobs.bunge.com. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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:
Skills & Experience Requirements:
Preferred Experience/Skills:
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
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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Chesterfield, MO -Missouri, US, 63017
Working pattern and location restrictions need checking in the full posting.
This passage needs a closer read in the full description.