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Internship Data Science Music Jobs in Minnesota (NOW HIRING)

AI/ML Intern - Radiation Oncology

Rochester, MN · On-site

$14.75 - $19/hr

Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm ...

Software Engineering Intern - Summer 2027

Fridley, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineering interns contribute to experienced teams across software development, AI/data science, cloud, quality, DevOps, systems, testing, and firmware engineering. Examples of work in each ...

Software Engineering Intern - Summer 2027

Plymouth, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineering interns contribute to experienced teams across software development, AI/data science, cloud, quality, DevOps, systems, testing, and firmware engineering. Examples of work in each ...

Software Engineering Intern - Summer 2027

Fridley, MN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Software Engineering interns contribute to experienced teams across software development, AI/data science, cloud, quality, DevOps, systems, testing, and firmware engineering. Examples of work in each ...

$22 - $24/hr

  • Retirement

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

New

$22 - $24/hr

  • Retirement

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

New

$22 - $24/hr

  • Retirement

Data Science or Management Information Systems preferred * Education: Current undergraduate student ... This internship/co-op is a structured experiential learning program for individuals currently ...

New

Showing results 21-40

Internship Data Science Music information

What is an internship in data science for the music industry?

An internship in data science for the music industry is a temporary position where students or recent graduates work with music companies or organizations to apply data analysis techniques to music-related problems. Interns may analyze streaming data, build recommendation systems, or help understand listener behavior using machine learning and statistical methods. The goal is to gain practical experience in both data science and the unique challenges of the music sector. These internships often involve working with large datasets, coding, and presenting insights to stakeholders. They can be a great way to start a career at the intersection of technology and music.

What types of projects can I expect to work on during a data science internship in the music industry?

As a Data Science intern in the music industry, you’ll typically work on projects involving the analysis of streaming data, user behavior, and recommendation systems. You may assist with developing tools to predict song popularity, analyze listening habits, segment user audiences, or help refine algorithms that personalize playlists. These projects often require collaboration with product managers, engineers, and music curators, offering valuable exposure to both technical and creative problem-solving in a fast-paced, data-driven environment.

What are the key skills and qualifications needed to thrive as an internship data science music, and why are they important?

To thrive as a Data Science Music Intern, you need foundational knowledge in statistics, programming (Python or R), and basic understanding of music theory or audio analysis, often supported by ongoing studies in data science, computer science, or a related field. Familiarity with data analysis tools like Pandas, NumPy, Jupyter, and music-specific libraries such as librosa, as well as experience with SQL and Git, is highly valued. Strong problem-solving skills, creativity, and effective communication help interns collaborate on innovative projects and present complex findings clearly. These abilities are essential for extracting insights from music data, contributing to team goals, and advancing both technical and creative aspects of music data projects.

What is the difference between Internship Data Science Music vs Data Analyst Music?

AspectInternship Data Science MusicData Analyst Music
Required CredentialsRelevant coursework, basic programming skillsBachelor's in Data Science, Statistics, or related field
Work EnvironmentInternship setting, entry-level projectsFull-time or part-time roles in music industry companies
Industry UsageUsed for training and skill development in music techAnalyzing music consumption, sales, and trends
Search & Comparison IntentUnderstanding internship opportunities in music data scienceComparing roles for career progression in music data analysis

Internship Data Science Music typically involves entry-level training and project work in music-related data science, often as a temporary position. Data Analyst Music is a full-time role focused on analyzing music industry data to inform business decisions. While both roles require analytical skills, internships are more about learning, whereas data analyst positions involve ongoing responsibilities in the music industry.

What are the most commonly searched types of Data Science Music jobs in Minnesota?

The most popular types of Data Science Music jobs in Minnesota are:

What are popular job titles related to Internship Data Science Music jobs in Minnesota?

For Internship Data Science Music jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Internship Data Science Music jobs?

Cities in Minnesota with the most Internship Data Science Music job openings:

Infographic showing various Internship Data Science Music job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI/ML Intern - Radiation Oncology

Mayo Clinic

Rochester, MN • On-site

$14.75 - $19/hr

Part-time

Re-posted 22 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

128th of 887 rated healthcare providers


Job description

Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include: diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization - including sentiment, interests and affinities modeling, and process improvement (e.g. making sure patients are referred to the care teams they need). The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm deployment into a relevant clinical and/or business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to healthcare. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

*Must reside within the continental US. This vacancy is not eligible for sponsorship/we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

Current enrollment or recent graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other related field with strong quantitative analytical skills. School or project experience in applying data science approaches/tools. Proven written and oral communication skills are essential.AI experience/exposure or familiarity with AI principles is required. Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for success. Experience with major programming languages is beneficial. Demonstrated initiative/innovation in coursework and projects.
Experience with data science development tools building algorithms on structured data is preferred. Experience working with unstructured data such as natural language, images, genetics, or signal processing (e.g. EKG) is preferred. Experience with C/C++/Java or other systems programming languages and software engineering methodology is not required but beneficial. Candidates with exceptional web-stack data visualization (Angular/D3) experience will also be considered.


What Mayo Clinic employees say

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919