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Intern Data Science Music Jobs in Utah (NOW HIRING)

Weave

Data Engineer Intern

Lehi, UT · On-site

We're looking for a motivated and enthusiastic Data Engineer Intern to join our team. This is an ... Science, Information Systems, Data Science, Statistics, Economics, or a related discipline.

L3HHCM20

Intern, Business Development

Salt Lake City, UT · On-site

$27.50 - $48/hr

Intern, Business Development Job Code: 43434 Job Location: Northampton, MA, Millersville, MA, Salt ... To be eligible, candidate's must be pursuing a degree in Business, Engineering, Data Science, or a ...

Jade Global

Integration Analyst Intern

Ogden, UT

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

Jade Global

Integration Analyst Intern

Ogden, UT · On-site

Integration Analyst Intern1 Integration Analyst Intern in the Data & AI Team Launch Your Career ... Bachelor's degree in Computer Science, Data Science, AI/ML, or related field * Strong Python ...

American Heart Association

$23/hr

Data Science * IT * And more! As an intern, you'll gain hands-on experience while contributing to a cause that impacts lives nationwide. Your internship includes: * Salary of $23/hour * Professional ...

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All JobsIntern Data Science Music JobsIntern Data Science Music Jobs in Utah

Intern Data Science Music information

What does an intern data science music do?

An Intern Data Science Music typically assists in analyzing and interpreting music-related data to help improve products or services in the music industry. Their tasks may include collecting and cleaning data, performing statistical analysis, building predictive models, and visualizing musical trends or user behavior. These interns often work with large datasets involving music streaming, song features, or listener preferences, and may collaborate with data scientists, engineers, and product teams. The role offers practical experience in both data science and the unique challenges of the music sector.

What types of projects can an intern data science music expect to work on, and how do these contribute to the team’s goals?

As an Intern Data Science Music, you can expect to work on projects such as analyzing streaming data to uncover listening trends, building recommendation algorithms, or assisting with the evaluation of audio feature extraction methods. These projects are typically collaborative, allowing you to work closely with data scientists, engineers, and sometimes product managers to deliver actionable insights or prototypes that directly impact how music is discovered and experienced on digital platforms. The work environment is often fast-paced and encourages creative problem-solving, which helps interns gain exposure to real-world data challenges while contributing meaningfully to the team's objectives.

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

To thrive as an Intern in Data Science for Music, you generally need a foundational understanding of statistics, machine learning, data analysis, and programming skills in languages like Python or R, often supported by coursework or a degree in computer science, statistics, or a related field. Experience with data visualization tools, basic knowledge of audio analysis libraries (such as librosa), and familiarity with SQL or cloud platforms are commonly required. Strong analytical thinking, creativity, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting meaningful patterns from music data, supporting innovation, and driving actionable outcomes in the music industry.

What is the difference between Intern Data Science Music vs Intern Data Analysis Music?

AspectIntern Data Science MusicIntern Data Analysis Music
Required CredentialsBasic programming, statistics, data science fundamentalsStatistics, Excel, basic programming
Work EnvironmentCollaborative teams, research projects, data modelingData review, reporting, visualization tasks
Industry UsageTech, entertainment, music streaming companiesMedia, marketing, music industry firms

Intern Data Science Music and Intern Data Analysis Music roles share foundational skills like statistics and basic programming. However, Data Science internships focus more on developing predictive models and machine learning, while Data Analysis roles emphasize data visualization and reporting. Both are common in the music industry, but Data Science roles often involve more complex data modeling and algorithm development.

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

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

What are popular job titles related to Intern Data Science Music jobs in Utah?

For Intern Data Science Music jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Intern Data Science Music jobs in Utah look for?

The top searched job categories for Intern Data Science Music jobs in Utah are:

What cities in Utah are hiring for Intern Data Science Music jobs?

Cities in Utah with the most Intern Data Science Music job openings:

Intern Data Science Music jobs near you

Intern - Applied AI & Data Science

Salt Lake City, UT

ARUP
Construction • 10K+ employees
Learn more about ARUPexternal

$20/hr

Internship

Posted 4 days ago

Job description

Schedule:
Duration of Internship: September 14, 2026 - December 14, 2026
Status: Non-benefited
Hours: Less than 29 hours per week
Days: Monday - Friday, flexible based on intern availability

Department: R&I Appl AI & Bioinformatics - 339

The Intern is utilized in various departments. ARUP's culture is one of caring for both the patient and its employees.

About the Supervisor:

Brendan O’Fallon, PhD., is the Bioinformatics Director at ARUP, and oversees the Applied AI (AAI) team.  The team works on machine learning and AI projects in digital pathology, flow cytometry, next generation sequencing, and clinical lab informatics.

Internship Description:

Projects that fit the skills and goals of the intern will be identified at the beginning of the internship, but will likely include exploratory data analysis, training machine learning or deep learning algorithms, or developing AI agents. The intern will work closely with a senior data scientist mentor, and will attend weekly meetings and standups.  At the end of the internship the final product or analysis will be presented to other data scientists, medical directors, and scientists from across the company.

Internship Goals: 

  • Develop proficiency with python data analysis tools
  • Refine data visualization skills
  • Become familiar with development of AI (LLM-based) agents
  • Learn basic concepts of laboratory information science

Knowledge, Skills & Techniques Learned from Internship:

Agentic Workflows

Data Science in Laboratory Medicine

LLM validation and QC

Basics of genomics, hematopathology, and/or digital pathology

Data visualization and written communication of scientific concepts

Measurement of New Skills:

Intern will be asked to present project to suitable user group at the end of the internship, including data scientists, MDs, laboratory staff, or other groups as relevant to the project.

About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.

Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently and effectively communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.

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