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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.
More about Internship Agriculture Data Science jobs
What cities are hiring for Internship Agriculture Data Science jobs? Cities with the most Internship Agriculture Data Science job openings:
What are the most commonly searched types of Agriculture Data Science jobs? The most popular types of Agriculture Data Science jobs are:
What states have the most Internship Agriculture Data Science jobs? States with the most job openings for Internship Agriculture Data Science jobs include:
What job categories do people searching Internship Agriculture Data Science jobs look for? The top searched job categories for Internship Agriculture Data Science jobs are:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Intern

Athena LLC

On-site, Remote

Part-time

Re-posted 4 days ago

Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.
We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.
Role Overview
The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.
Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.
  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.
  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.
  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.
  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.
  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.
  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.
  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.
  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.
  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.
  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).
  • Previous internship or project experience demonstrating practical data science applications.
  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.
  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.
  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.
  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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