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Data Science Intern Jobs in Madison, WI (NOW HIRING)

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data ...

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data ...

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data ...

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data ...

Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making? VAS, a URUS Group company, is looking for a Dairy Data ...

Data Scientist

Madison, WI · On-site

$106K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical ...

Showing results 21-40

Data Science Intern information

See Madison, WI salary details

$12

$22

$42

How much do data science intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data science intern in Madison, WI is $22.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $24.71 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Madison, WI?

The most popular types of Data Science jobs in Madison, WI are:

What cities near Madison, WI are hiring for Data Science Intern jobs?

Cities near Madison, WI with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Madison, WI as of August 2026, with employment types broken down into 29% Internship, 50% Full Time, 14% Part Time, and 7% Temporary. Highlights an 86% In-person, 7% Hybrid, and 7% Remote job distribution, with an average salary of $47,173 per year, or $22.7 per hour.

Dairy Data Scientist

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 10 days ago


Key responsibilities

  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.

  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.

  • Help develop dashboards, reports, decision-support tools, and automated analytics.


Job description


Are you passionate about dairy science and interested in using data to improve herd performance, animal health, and farm decision-making?
VAS, a URUS Group company, is looking for a Dairy Data Scientist who brings strong knowledge of dairy production and the ability to apply statistics, analytics, and programming to real-world dairy challenges.
This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into meaningful insights for the dairy industry.
What You'll Do
  • Analyze dairy production, herd health, nutrition, reproduction, sensor, genomic, and operational data.
  • Apply statistical analysis and predictive modeling to identify trends, risks, and opportunities related to herd performance.
  • Support dairy research initiatives, field trials, experimental design, data analysis, and technical reporting.
  • Use tools such as Python, R, SQL, Databricks, or similar analytics platforms to explore and analyze complex datasets.
  • Help develop dashboards, reports, decision-support tools, and automated analytics.
  • Evaluate precision dairy technologies, herd-management systems, automated milking systems, IoT devices, and other emerging technologies.
  • Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers.
  • Translate scientific findings and analytical results into practical recommendations for dairy operations and business teams.

What We're Looking For
  • Bachelor's degree in Dairy Science, Animal Science, Agricultural Science, Statistics, Data Science, Veterinary Science, Biology, or a related field.
  • Meaningful academic, research, or professional experience related to dairy cattle, dairy production, herd health, nutrition, reproduction, milk production, or animal science.
  • Experience using data and statistics to answer scientific or operational questions.
  • Some hands-on programming or analytics experience with tools such as Python, R, SQL, SAS, or similar technologies.
  • Knowledge of statistical analysis, experimental design, or predictive modeling.
  • Ability to communicate scientific and analytical findings to both technical and non-technical audiences.
  • Curiosity and willingness to learn new data platforms and technologies.

Even Better If You Bring
  • Master's or PhD with research focused on dairy production, animal science, nutrition, reproduction, genetics, or animal health.
  • Experience working with dairy herd-management, DHIA, sensor, genomic, or precision dairy data.
  • Experience with Databricks, PySpark, Delta Lake, or cloud-based analytics platforms.
  • Experience with machine learning or predictive modeling.
  • Experience with Power BI, Tableau, or other visualization tools.
  • Peer-reviewed publications, conference presentations, or technical research reports.
  • Direct exposure to dairy farm operations and an understanding of how scientific recommendations translate into day-to-day farm decisions.

Why This Role
This is an opportunity to combine dairy science with modern analytics and help solve meaningful problems affecting herd health, production efficiency, sustainability, and farm profitability.
You don't need to arrive as an expert in every technology we use. If you bring strong dairy knowledge, scientific curiosity, quantitative skills, and some coding experience, we want to hear from you.
About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.