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Graduate Data Science Intern Jobs in Minneapolis, MN

Varsity Tutors

Data Science Tutor

Edina, MN · Remote

$18 - $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.

Varsity Tutors

Data Science Tutor

Saint Paul, MN · Remote

$18 - $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.

Varsity Tutors

Data Science Tutor

Minneapolis, MN · Remote

$18 - $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.

Mortenson

Data Scientist

Minneapolis, MN

$92K - $138K/yr

Bachelor's degree in statistics, applied mathematics, data science, data analytics, or related discipline; graduate degree preferred * Minimum of 1-4 years of experience in data science * Proficiency ...

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

As of Aug 29, 2026, the average hourly pay for graduate data science intern in Minneapolis, MN is $23.49, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $25.58 per hour, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a graduate data science intern?

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 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.

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.

Is a graduate data science internship worth it?

A graduate data science internship provides practical experience with tools like Python and SQL, enhances skills in data analysis and machine learning, and can improve job prospects after graduation. It offers exposure to real-world projects and professional environments, which are valuable for career development.

What are popular job titles related to Graduate Data Science Intern jobs in Minneapolis, MN?

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Graduate Data Science Intern jobs near you

Digital & IT - Predictive Data Science Internship - Summer 2027

Polaris, Inc.

Medina, MN • On-site

Full-time

Posted 4 days ago

Job description

At Polaris Inc., we have fun doing what we love by driving change and innovation. We empower employees to take on challenging assignments and roles with an elevated level of responsibility in our agile working environment. Our people make us who we are, and we create incredible products and experiences that empower us to Think Outside.
Internship Program Overview:
The Polaris D&IT Predictive Data Science Internship is a 12-week paid summer internship designed for emerging juniors and seniors interested in applying data science, analytics, and AI to solve real business challenges within the global powersports industry.
As a Predictive Data Science Intern, you will work with large datasets to uncover insights, build predictive models, and develop data-driven recommendations that support business decisions across Polaris. Projects may include analyzing customer, dealer, supply chain, and operational data to identify trends, improve forecasting, optimize processes, and drive business performance.
You will partner with cross-functional teams across analytics, technology, operations, and the business to turn data into actionable solutions and meaningful outcomes.
Potential Project Areas:
  • Predictive analytics and forecasting

  • Machine learning and AI solutions

  • Data management and engineering

  • Business intelligence, data visualization, and decision support

Internship Location: D&IT interns are typically based at Polaris Headquarters in Medina, MN, where they collaborate closely with technology, analytics, and business teams across the organization.
As a Polaris intern it is important that you embrace the adventure and remain open to any placement opportunity. By being adaptable, you will gain diverse experiences and develop a broader skill set, which are essential for your professional development and success within Polaris.
Our internship program is crafted to build the foundational skills and experiences essential for your career success. Upon completing the internship, those who demonstrate exceptional performance and a strong passion for learning may be offered a returning internship or a position in our rotational leadership development program.
In addition to meaningful project work, you will participate in intentional programming and professional development offerings such as:
  • Mentorship: you are paired with one of our DP associates for mentor support throughout your 12-weeks.

  • Programming Hours: weekly functional and centralized learning sessions to broaden your knowledge base, both within and beyond your program.

  • Networking: intentional time with peers and leaders at Polaris to build your professional network.

  • Intern Innovation Challenge: internal case study designed to promote cross functional development where you and your team will present creative and practical solutions to a real 'Polaris' problem to our executive leadership.

  • Early Talent Summit Week: participate in our 2-day event in our Wyoming, MN office. This immersive experience brings together all US interns and DPs for professional development, structured networking, a DP graduation event, inspiring executive speakers, and a thrilling team ride on some of your favorite Polaris vehicles.

  • Community Engagement: opportunity to get involved in your local community.

  • Final Presentations: present to our senior level leaders to showcase your career aspirations and recap your internship experience.

The Selection Process:
Applications are reviewed on a rolling basis throughout the fall. Selected candidates will be invited to participate in a phone screen followed by a virtual interview with Polaris HR leaders. Candidates who successfully complete the interview process may receive an internship offer. Internship assignments are finalized in February based on candidate interests, strengths, and business needs.
Intern Relocation Assistance:
Polaris provides relocation support for eligible interns working 35+ miles from their assigned location. Benefits may include a relocation stipend and assistance with securing temporary housing accommodations. Interns are responsible for daily transportation to and from their work location.
Required Qualifications:
  • Pursuing a Bachelors/Master's degree in Data Science, or other related business degree with an intended graduation date between August 2027 - May 2029.

  • Minimum overall GPA of 3.0

  • Must be able to commit to a full 12-week internship, working 40 hours per week, within one of the following date ranges: May 17th - August 6th or June 1st - August 20th, 2027

  • Open to geographic mobility and relocation opportunities

  • Must be a U.S. person (U.S. citizen, U.S. national, lawful permanent resident, asylee, or refugee) and not require sponsorship for employment now or in the future.

  • Must have reliable transportation for daily commuting to and from the office.

  • Previous experience with Microsoft Office software tools (Excel, Outlook, PowerPoint, Teams, and Word).

Preferred Qualifications:
  • Previous internship/co-op experience or involvement in relevant projects.

  • Previous leadership experience in work, organizations, or classroom.

  • Demonstrated strengths in analysis, creative problem-solving, communication, interpersonal relationships, self-motivation, and leadership.

  • Interest in future career opportunities and continued growth within Polaris.

  • Completion of at least two years of university coursework.

This is more than an internship - It's the beginning of your career with Polaris. We hope you're ready for the ultimate adventure!
The starting pay range for Minnesota is $23.50 to $32.00 per hour, plus eligibility for overtime. Individual pay and positioning within the range are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills, and geography. While individual pay could fall anywhere in the range based on these factors, it is not common to start at the high end or top of the range.
To qualify for this position, former employees must be eligible for rehire, and current employees must be in good standing.
We are an ambitious, resourceful, and driven workforce, which empowers us to Think Outside. Apply today!
About Polaris
As the global leader in powersports, Polaris Inc. (NYSE: PII) pioneers product breakthroughs and enriching experiences and services that have invited people to discover the joy of being outdoors since our founding in 1954. Polaris' high-quality product line-up includes the Polaris RANGER®, RZR® and Polaris GENERAL™ side-by-side off-road vehicles; Sportsman® all-terrain off-road vehicles; military and commercial off-road vehicles; snowmobiles; Slingshot® moto-roadsters; Aixam quadricycles; Goupil electric vehicles; and pontoon and deck boats, including industry-leading Bennington pontoons. Polaris enhances the riding experience with a robust portfolio of parts, garments, and accessories. Proudly headquartered in Minnesota, Polaris serves more than 100 countries across the globe. www.polaris.com
EEO Statement
Polaris Inc. is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Applicants with a disability that are in need of an accommodation to complete the application process, or otherwise need assistance or an accommodation in the recruiting process, should contact Human Resources at 800-765-2747 or Talent.Acquisition@Polaris.com. To read more about employment discrimination protection under U.S. federal law, see: Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov).

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