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Internship Agriculture Data Science Jobs (NOW HIRING)

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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Internship Agriculture Data Science information

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$42

How much do internship agriculture data science jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for internship agriculture data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an agriculture data science intern, and why are they important?

To thrive as an Agriculture Data Science Intern, you need a solid grounding in statistics, data analysis, and agricultural science, typically supported by coursework or a degree in data science, agronomy, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and experience with agricultural datasets or GIS systems are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout candidates apart. These skills and qualifications are crucial for interpreting complex agricultural data to drive informed decision-making and support innovation in the field.

What types of projects can I expect to work on during an agriculture data science internship?

As an Agriculture Data Science intern, you will typically work on projects involving the analysis of large datasets related to crop yields, soil health, weather patterns, or precision agriculture technologies. Common tasks include cleaning and processing agricultural data, building predictive models, and visualizing findings to support decision-making for farm management or research teams. You may also collaborate closely with agronomists, software engineers, and other data scientists, gaining exposure to both field and technical aspects of the industry. This hands-on experience helps develop practical skills and can open doors to advanced roles in agri-tech or research organizations.

What is the difference between Internship Agriculture Data Science vs Agriculture Data Analyst?

AspectInternship Agriculture Data ScienceAgriculture Data Analyst
CredentialsEnrolled in or recent graduate of relevant degree (e.g., data science, agriculture, statistics)Bachelor's or higher in data analysis, agriculture, or related fields
Work EnvironmentInternship programs, often in research or farm tech companiesFull-time roles in agricultural firms, research institutions, or tech companies
Employer & Industry UsageUsed by companies seeking entry-level data skills in agricultureUsed by organizations analyzing agricultural data for decision-making

Internship Agriculture Data Science positions are entry-level, focusing on learning and supporting data projects in agriculture. Agriculture Data Analysts are more experienced, responsible for analyzing data to inform agricultural strategies. Both roles require similar educational backgrounds but differ in experience and responsibilities.

What does an agriculture data science intern do?

An Agriculture Data Science Intern assists with collecting, analyzing, and interpreting agricultural data to help improve farming practices and productivity. They may work with large datasets related to crop yields, soil health, weather patterns, or supply chain management using statistical and machine learning tools. Their role often involves supporting research projects, creating data visualizations, and collaborating with agronomists or engineers. Through this experience, interns gain hands-on skills in both agriculture and data science, preparing them for future roles in agri-tech or research.
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Internship Agriculture Data Science jobs near you
Infographic showing various Internship Agriculture Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.