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Intern Data Science Music Jobs (NOW HIRING)

Ardian

Data Scientist Intern

New York, NY

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Ardian

Data Scientist Intern

New York, NY · On-site

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

Melotech

Data Science, Music & Audio

New York, NY · On-site

What you will do Join us as our first dedicated Data Scientist to bring order to the chaos of ... music, video or social media What makes this exciting You are one of the first employees of an ...

AEVEX

Engineering Intern - Data Science

Dayton, OH · On-site

$16.25 - $21.25/hr

The selected intern will work hands-on with our Data Science team to ingest, organize, process, and visualize flight test and robotics data. They will also contribute to the development and training ...

AEVEX

Engineering Intern - Data Science

Dayton, OH · On-site

The selected intern will work hands-on with our Data Science team to ingest, organize, process, and visualize flight test and robotics data. They will also contribute to the development and training ...

Omron

Data Scientist Intern

Hoffman Estates, IL · On-site +1

Data Scientist Intern - Data Warehouse & Analytics Location: Hybrid/Remote Duration: Summer 2026 ... Data Science * Computer Science * Information Systems * Statistics * Engineering * or a related ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a ...

Athena LLC

Role Overview The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and ...

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Intern Data Science Music information

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

As of Jun 5, 2026, the average hourly pay for intern data science music in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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 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 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 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.

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Intern Data Science Music jobs near you
Infographic showing various Intern Data Science Music job openings in the United States as of May 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Student Engineering Intern - Data Science

Student Engineering Intern - Data Science

RE/SPEC Inc.

Rapid City, SD • On-site

$16.50 - $21.50/hr

Other

Posted yesterday

Job description

Company Description

Big challenges need bold thinkers.

If you're someone who sees problems as opportunities, you'll thrive here. RESPEC is 100% employee-owned, which means we take ownership of every challenge. Here, your ideas drive real solutions. Since 1969, we've tackled complex challenges in energy transition, infrastructure resilience, digital transformation, and sustainability.

At RESPEC, you'll work alongside clients to take on critical problems. Depending on your expertise, you might design infrastructure in remote locations, develop renewable energy solutions for global projects, or apply data-driven technology to improve mining and water systems.

We bring deep technical knowledge, real-world experience, and a commitment to work that matters. If you're looking for a place where your contributions have real impact, you'll fit right in.

Job Description

RESPEC seeks a Student Engineering Intern - Data Science for our Rapid City, SD office as part of our 2026 Summer Internship Program. This position is expected to work 40 hours per week during summer 2026.

In this role, the intern will gain hands-on experience in data collection, analysis, and development of large-scale database systems to support engineering staff. The ideal candidate will have experience working with artificial intelligence and machine learning tools to query, analyze, and disposition large datasets, along with knowledge of database system design and implementation. Experience with GIS database systems is preferred.

Additional responsibilities may include developing specialized scripts and software utilities using Python, C++, VBA, or other programming languages. The selected candidate will work under the direct supervision of experienced engineering staff.

Qualifications

Required:

  • Must be working toward a Bachelor of Science or advanced degree in computer science, computer engineering, industrial, mechanical, civil, or related field
  • Demonstrated knowledge in data science, machine learning, and artificial intelligence tools, methods, and applications
  • Strong computer skills in using standard office software
  • Excellent interpersonal skills, be able to communicate effectively in writing and orally, and be self-motivated

Preferred:

  • Familiarity with CAE software, such as 3D CAD software
  • Strong working knowledge of common programming languages
Additional Information

Compensation: Compensation depends on experience. No benefits are offered except those that are required for statutory purposes.

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