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Internship Data Science Music Jobs in Elgin, IL (NOW HIRING)

Transunion

Machine Learning Platform Engineer

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Own data science requirements and tracking, working to identify strategies and opportunities to ... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ...

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Internship Data Science Music information

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How much do internship data science music jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for internship data science music in Elgin, IL is $22.25, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $24.23 per hour, depending on experience, location, and employer.

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 popular job titles related to Internship Data Science Music jobs in Elgin, IL?

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

What job categories do people searching Internship Data Science Music jobs in Elgin, IL look for?

The top searched job categories for Internship Data Science Music jobs in Elgin, IL are:

What cities near Elgin, IL are hiring for Internship Data Science Music jobs?

Cities near Elgin, IL with the most Internship Data Science Music job openings:

Internship Data Science Music jobs near you
Infographic showing various Internship Data Science Music job openings in Elgin, IL as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $46,271 per year, or $22.2 per hour.

Morningstar Internship Program- Quantitative Research Intern (Campus)

Morningstar

Chicago, IL • On-site

Other

Medical, Dental, Life, Retirement

Posted 3 days ago

New

MorningStar Senior Living rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

63rd of 240 rated social care providers

Job description

About the Group: As a Quantitative Research Intern, you'll be part of a cohort of interns across the company, participating in training, mentorship, and networking opportunities while contributing meaningfully to our research and data science initiatives.We welcome students who are curious, analytical, and passionate about using data to improve investor outcomes. This internship is ideal for those interested in quantitative research, investment analysis, and financial technology.

The Program:We created the Morningstar Summer Internship Program for college students entering their final year as a first step towards successful, long-term careers in any professional field. Participants will contribute to different aspects of Morningstar's business through ten-week- individual and group projects, learning about the financial services and securities industries, and gaining critical business development skills. Our interns receive hands-on mentoring from their colleagues and the People & Culture team to help them succeed at Morningstar.

Job Responsibilities:

  • Assist in cleaning and organizing financial datasets for use in research projects.

  • Support the development and testing of models using basic statistical techniques.

  • Help build visualizations and summaries to communicate research findings.

  • Shadow quantitative analysts to learn how they apply data science to investment questions.

  • Collaborate with internal teams to understand how research connects to Morningstar's products and services.

  • Participate in team meetings and contribute ideas to improve research workflows.

  • Document processes and findings to support transparency and reproducibility.

Qualifications

  • Between 0-2 years of professional working experience.

  • Currently pursuing a bachelor's degree in a quantitative or financial discipline (in your second or third year of study).

  • Familiarity with Python or R for data analysis.

  • Basic knowledge of SQL and statistical methods.

  • Strong communication skills and ability to explain technical concepts clearly.

  • Detail-oriented, curious, and eager to learn.

  • Comfortable working independently and in team settings.

  • Prior experience with research projects, coding, or financial analysis is a plus.

  • Must possess unrestricted right to work in the U.S. for this position.

  • A resume is required to apply. Please include the word "Resume" in the file name of the resume you upload.

Location: Chicago

Start Date June 1st 2026

Compensation and Benefits

At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:

  • Financial Health

    • 100% 401k match up to 6% of salary

    • Stock Ownership Potential

    • Company provided life insurance - 1x salary + commission

  • Physical Health

    • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages

    • Additional medical Wellness Incentives - up to $300-$600 annual

    • Company-provided long- and short-termdisabilityinsurance

  • Emotional Health

    • Trust-Based Time Off

    • 6-week Paid Sabbatical Program

    • 6-Week Paid Family Caregiving Leave

    • Competitive 8-24 Week Paid Parental Leave

    • Adoption Assistance

    • Leadership Coaching & FormalMentorshipOpportunities

    • Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses

    • Tuition Reimbursement

  • Social Health

    • Charitable Matching Gifts program

    • Dollars for Doers volunteer program

    • Paid volunteering days

    • 15+ Employee Resource & Affinity Groups

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

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