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Summer Data Scientist Internship Jobs in Rochester, MN

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Summer Data Scientist Internship information

See Rochester, MN salary details

$46.8K

$167.7K

$247.5K

How much do summer data scientist internship jobs pay per year?

As of Sep 1, 2026, the average yearly pay for summer data scientist internship in Rochester, MN is $167,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,700.00 and $172,800.00 per year, depending on experience, location, and employer.

What is a summer data scientist internship?

A Summer Data Scientist Internship is a temporary, typically 10-12 week program offered during the summer months where students or recent graduates gain practical experience in data science. Interns work with real-world datasets, apply statistical analyses, and use programming languages like Python or R to solve business problems. These internships help participants develop technical and analytical skills while working alongside experienced data scientists. They also offer opportunities to network, learn industry best practices, and potentially secure a full-time position after graduation.

What are the key skills and qualifications needed to thrive as a summer data scientist intern?

To thrive as a Summer Data Scientist Intern, you typically need a solid foundation in statistics, programming (often Python or R), and data analysis, with coursework or experience in relevant fields. Familiarity with data visualization tools (such as Tableau or Matplotlib), machine learning libraries (like scikit-learn or TensorFlow), and database systems (SQL) is highly valued. Strong problem-solving, curiosity, and effective communication help interns interpret findings and collaborate on cross-functional teams. These skills are crucial for extracting actionable insights from data and contributing to impactful projects during the internship.

What types of projects and tasks can I expect to work on during a summer data scientist internship?

As a Summer Data Scientist Intern, you can expect to work on a variety of data-driven projects such as cleaning and analyzing datasets, developing predictive models, and creating data visualizations to support business decisions. You may collaborate closely with experienced data scientists and cross-functional teams like engineering or product management. Interns often participate in real-world projects that contribute to ongoing company initiatives, allowing you to gain practical experience while learning new tools and techniques. The environment is typically fast-paced and supportive, providing mentorship and opportunities to present your work to stakeholders.

What is the difference between Summer Data Scientist Internship vs Summer Data Analyst Internship?

AspectSummer Data Scientist InternshipSummer Data Analyst Internship
Required SkillsProgramming (Python, R), statistical analysis, machine learningExcel, SQL, basic statistics, data visualization
Work EnvironmentResearch-focused, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Employer UsageTech companies, finance, healthcareRetail, marketing, consulting firms

Summer Data Scientist Internships typically involve advanced analytics, machine learning, and programming skills, focusing on predictive modeling. In contrast, Summer Data Analyst Internships emphasize data cleaning, reporting, and descriptive analysis. Both roles are valuable in data-driven industries but differ in technical complexity and focus areas.

What job categories do people searching Summer Data Scientist Internship jobs in Rochester, MN look for?

The top searched job categories for Summer Data Scientist Internship jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Summer Data Scientist Internship jobs?

Cities near Rochester, MN with the most Summer Data Scientist Internship job openings:

Summer 2027 Intern - Machine Learning Engineering

Workiva

Rochester, MN • On-site

$40/hr

Other

Retirement

Posted 4 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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