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Intern Data Science Music Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

As a Data Science Intern in our New York-based Data Lab, you will work at the forefront of the digital transformation of education data, supporting the development of innovative, data-driven ...

Centerfield is looking for a curious, hands-on Data Science Intern to work alongside our Data Science team on the systems that turn millions of customer conversations into intelligence. You'll ...

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Intern Data Science Music information

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$12

$22

$42

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

As of Jun 29, 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 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 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 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 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.
More about Intern Data Science Music jobs
What cities are hiring for Intern Data Science Music jobs? Cities with the most Intern Data Science Music job openings:
What are the most commonly searched types of Data Science Music jobs? The most popular types of Data Science Music jobs are:
What states have the most Intern Data Science Music jobs? States with the most job openings for Intern Data Science Music jobs include:
Infographic showing various Intern Data Science Music job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Scientist Intern

Ardian

New York, NY • On-site

Full-time

Posted 13 hours ago


Key responsibilities

  • Work on data projects related to Ardian's portfolio assets across various sectors.

  • Participate in transverse data science projects within the company, such as generative AI.

  • Engage with management of portfolio companies on issues of decarbonization and sustainable development.


Job description

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 renewable energy, transportation, retail, healthcare etc.) as well as more transverse projects within the company (such as generative AI, etc.)
This position requires a certain degree of autonomy, always accompanied by regular supervision from other data scientists and team managers. It also offers direct exposure to the management of the concerned companies, as well as current issues of decarbonization and sustainable development.
Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.
Required skills
  • Rigor
  • Motivation
  • Autonomy
  • Responsiveness
  • Team spirit and excellent communication skills
  • Ability to simplify complex technical concepts
  • Efficiency

Profile
  • 3rd-year student (end-of-studies internship) or 2nd-year student (2nd gap year internship) of engineering or business school, currently pursuing a degree in data science, Statistics, Mathematics, Operations Research, or related field
  • Prior experience in data science required
  • Advanced proficiency in Python required
  • Fluent English essential
  • Good command of Excel and PowerPoint appreciated

Other information
  • Remuneration based on profile
  • Monday - Thursday meals provided in Ardian's office
  • Open to J1/F1 sponsorship

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