ZipRecruiter

Log In

1

Internship Agriculture Data Science Jobs (NOW HIRING)

MHI

Data Science Internship (Governance)

Lake Mary, FL · On-site

Data Science Associate (Governance) Company Overview At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining ...

AstraZeneca

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

The successful candidate will leverage their data science expertise in mining large datasets to ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

NCSU

Lecturer of Data Science

Raleigh, NC

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

NCSU

Lecturer of Data Science

Raleigh, NC · On-site

$4.0K/wk

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

US Venture, Inc.

Data Science Intern

Appleton, WI · On-site

Venture Data and Analytics team as a Data Science Intern for Summer 2027! U.S ... Venture's Internship Program runs May - August 2027. Dates may vary based on individual class ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

... internships, or research projects). * Demonstrated experience developing generative AI solutions ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

previous page

Showing results 41-60

All Jobsinternship JobsAgriculture JobsInternship Agriculture Data Science Jobs

Internship Agriculture Data Science information

See salary details

$12

$22

$42

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

As of Sep 2, 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 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.

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.

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Internship (Governance)

MHI

Lake Mary, FL • On-site

Internship

Re-posted 8 days ago

Mitsubishi Heavy Industries rating

9.1

Company rating: 9.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

21st of 495 rated machine equipment manufacturers

Job description

Data Science Associate (Governance)
Company Overview
At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.
Role Overview
We are seeking a motivated and analytical Data Science Associate to support Compliance, Legal, Assurance, and Governance functions by embedding data analytics into compliance, risk, and controls activities across the organization. This early-career role is designed for candidates interested in applying data science, automation, and emerging technologies to improve assurance effectiveness, enhance control monitoring, and advance the use of continuous, risk-focused oversight.
Key Responsibilities
  • Design, develop, and execute data analytics to support compliance reviews, audits, governance and testing
  • Support planning, risk assessments, fieldwork, reporting, and continuous monitoring through analytics
  • Build repeatable and scalable analytics routines to increase testing coverage, and dashboarding visualization; organize Intranet, policies and procedures and enhance efficiency of such processes
  • Apply automation and analytics tools including Python, Power BI, Microsoft tools, and GenAI-enabled applications
  • Support Compliance, J-SOX and controls assurance activities through data extraction, testing, evidence analysis, and remediation validation
  • Evaluate control design and operating effectiveness using data-driven techniques
  • Ensure analytics are traceable, defensible, and aligned with assurance standards
  • Collaborate with Compliance, Legal, Internal Audit, Finance, IT and Operations, stakeholders

Other Duties & Responsibilities
  • Comply with all security, ethics, confidentiality, and data governance requirements
  • Support development of reusable analytics, templates, and documentation to scale analytics capabilities
  • Contribute to continuous improvement initiatives within Compliance, Legal, Assurance and Governance related functions
  • Communicate findings clearly and effectively with peers, management, and stakeholders
  • Maintain the highest level of integrity, professionalism, and accountability
  • Perform other related duties as required

Learning Outcomes
  • Exposure to Compliance, Legal, Internal Audit, risk management, and controls assurance processes
  • Hands-on experience applying data science to real-world business, governance and compliance challenges
  • Development of analytics, automation, and continuous monitoring solutions
  • Experience working cross-functionally with different teams
  • Mentorship and professional development within assurance and analytics disciplines

Requirements
  • Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Data Analytics, Software Engineering, or a related field
  • Strong analytical and problem-solving skills with attention to detail
  • Experience with at least one modern programming language; Python preferred
  • Working knowledge of data analysis tools, databases, and Microsoft Office applications
  • Ability to interpret technical and business documentation and communicate findings effectively
  • Adaptable, curious, and proactive mindset with interest in a 1-2 year development experience
  • Ability to meet physical requirements including standing, walking, bending, and lifting up to 25-50 pounds in varying environments

Mitsubishi is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.

What Mitsubishi Heavy Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply