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Graduate Data Science Intern Jobs in Madison, WI

Varsity Tutors

Data Science Tutor

Madison, WI · Remote

$40/hr

Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.

Reli Group Inc

Power BI Intern

Madison, WI

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Reli Group Inc

Power BI Intern

Whitewater, WI

$15/hr

The intern will assist in building, maintaining, and optimizing Power BI dashboards and reports ... Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ...

Humin, Inc.

Marketing Intern

Madison, WI · Remote

$18/hr

Beyond individual tools, Humin provides wellbeing science services to organizations, strengthening ... Current student, recent graduate, or early-career professional * Passion for YouTube and film ...

Humin, Inc.

Marketing Intern

Madison, WI · Remote

$18/hr

Beyond individual tools, Humin provides wellbeing science services to organizations, strengthening ... Current student, recent graduate, or early-career professional * Passion for YouTube and film ...

Wisconsin

Data Engineer

Madison, WI · On-site

$50K/yr

Data Engineer I Job Summary: About Us: The Institute on Aging is a research unit whose mission is ... Graduate work or degree in social sciences, epidemiology, population health, or information science ...

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All JobsGraduate Data Science Intern JobsGraduate Data Science Intern Jobs in Madison, WI

Graduate Data Science Intern information

See Madison, WI salary details

$12

$22

$42

How much do graduate data science intern jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for graduate 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.

Can I get a data science internship with no experience?

Graduate data science internships often accept candidates with limited or no professional experience if they demonstrate relevant skills such as programming in Python or R, understanding of statistics, and familiarity with data analysis tools. Building a portfolio through coursework, personal projects, or online certifications can improve chances of securing an internship without prior work experience.

Can you be an intern as a graduate?

Yes, graduate students can serve as data science interns, as many internship programs target individuals who have recently completed or are pursuing advanced degrees. Internships often require relevant skills such as programming in Python or R, and may have age or educational level prerequisites, but being a graduate does not disqualify you from applying.

What does a Graduate Data Science Intern do?

A Graduate Data Science Intern assists data science teams by analyzing large datasets, developing predictive models, and supporting data-driven decision-making. They often work with programming languages like Python or R, and use tools such as SQL, Excel, and machine learning libraries. Interns contribute to real-world projects, gain hands-on experience in data analysis, and help communicate findings to stakeholders. This role serves as a bridge between academic learning and practical application in the workplace.

Is 20 an hour good for an internship?

For a Graduate Data Science Intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require skills in programming, statistics, and data analysis. Internships often pay between minimum wage and $25 per hour, depending on location, company, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating pay rates.

What types of projects do Graduate Data Science Interns typically work on, and how do these projects support their professional development?

Graduate Data Science Interns often work on real-world data analysis projects such as building predictive models, cleaning and visualizing data, or assisting with machine learning algorithm implementation. These projects are usually part of larger team initiatives and provide interns with hands-on experience using industry-standard tools and methodologies. Collaborating closely with data scientists, engineers, and business stakeholders, interns gain exposure to the end-to-end data science workflow and receive mentorship to support their growth. This experience not only enhances their technical skills but also helps them develop problem-solving and communication abilities crucial for future career advancement.

Is 30 too late for data science?

Age is not a barrier to becoming a data science intern; many individuals start careers in data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be developed through online courses, certifications, and practical experience regardless of age.

What are the key skills and qualifications needed to thrive as a Graduate Data Science Intern, and why are they important?

To thrive as a Graduate Data Science Intern, you need foundational knowledge in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data visualization tools, and understanding of databases are often required. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and present insights clearly. These skills enable interns to extract actionable information from data and contribute value to team projects.

What is the difference between Graduate Data Science Intern vs Data Analyst Intern?

AspectGraduate Data Science InternData Analyst Intern
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Statistics, or related fieldOften pursuing or recently completed a degree in Data Analysis, Business, or related field
Work EnvironmentResearch-focused, data modeling, machine learning projects, collaborative teamsData collection, cleaning, reporting, visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, consulting, finance

The Graduate Data Science Intern role typically involves working on machine learning models and advanced analytics, requiring a background in data science or related fields. In contrast, Data Analyst Interns focus more on data cleaning, visualization, and reporting. Both roles are entry-level, often in similar industries, but differ in technical depth and project scope.

What are popular job titles related to Graduate Data Science Intern jobs in Madison, WI? For Graduate Data Science Intern jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Graduate Data Science Intern jobs in Madison, WI look for? The top searched job categories for Graduate Data Science Intern jobs in Madison, WI are:
Graduate Data Science Intern jobs near you
Data Science Tutor

Data Science Tutor

Varsity Tutors

Madison, WI • Remote

$40/hr

Part-time

Posted 18 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

13th of 21 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Science tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Data Science Tutor
  • Advanced Subject Mastery: Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data-driven insights. Ability to explain probability distributions, regression analysis, A/B testing, and data pipeline design while preparing students for data science roles, analytics careers, and graduate programs.
  • Conceptual Teaching & Problem-Solving: Skilled at teaching the full data science workflow from question formulation through insight communication. Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data presentations. Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics.
  • Curriculum Awareness & Adaptive Instruction: Familiar with data science curricula and bootcamp programs, and common challenges such as data cleaning complexity, selecting appropriate statistical tests, and communicating technical findings to non-technical stakeholders. Adapts instruction using Jupyter notebooks, real-world data sets, and end-to-end project workflows to support students from introductory data literacy through advanced analytics and machine learning implementation.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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