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Intern Data Science Music Jobs in Boston, MA (NOW HIRING)

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Sr. Data Scientist

Framingham, MA · On-site

$120K - $165K/yr

We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're ... Data science, machine learning, and analytics are a crucial part of this mission. These ...

Business Intelligence Intern - Fall

Watertown, MA · On-site

$17.25 - $21.50/hr

The intern will gain hands-on experience working with real business data and contributing to ... Currently enrolled in a Graduate program in business analytics, data science, information systems ...

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

Each AI Native Intern is embedded in a real team, working on real problems, and is expected to ... Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data ...

Software Engineer Intern HyperLight is at the forefront of the commercialization of thin-film ... Mentorship and collaboration with leading experts in photonics, data science, and software ...

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Intern Data Science Music information

See Boston, MA salary details

$13

$24

$45

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

As of Jul 29, 2026, the average hourly pay for intern data science music in Boston, MA is $24.45, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $26.63 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.
What are the most commonly searched types of Data Science Music jobs in Boston, MA? The most popular types of Data Science Music jobs in Boston, MA are:
What cities near Boston, MA are hiring for Intern Data Science Music jobs? Cities near Boston, MA with the most Intern Data Science Music job openings:
Infographic showing various Intern Data Science Music job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $50,854 per year, or $24.4 per hour.
Data Science Intern/Co-op

$25 - $30/hr

Full-time

Posted 24 days ago


Plymouth Rock Assurance rating

8.5

Company rating: 8.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

104th of 299 rated insurance


Job description

Data Science Internship/Co-Op - Fall Starting September 2026 - Position is in-office, Boston MA

This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.

Essential Functions and Responsibilities:

Data Analysis:

The Data Science Intern/co-op will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to illicit hypothesis from internal personnel regarding key variables and test those hypotheses using available data.

Modeling:

The Data Science Intern/co-op will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern/Co-op will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.

Implementation:

The Data Science Intern/co-op will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.

Qualifications:

  • Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
  • Practical experience in Econometrics and Statistics, preferably in a business context.
  • Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
  • High standards for the work products delivered.
  • Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
  • Flexibility and resiliency characteristic of a professional.
  • Knowledge of, and experience with, the technical aspect of insurance is a plus.
  • Proficiency with modeling programming language (SQL, R, SAS, Python).

Why work for us:

  • Friendly and collaborate work culture
  • Free On-site gym access
  • Free Coffee and Snacks
  • Company social events
  • Lunch and Learn Leadership program
  • Business Casual (Can wear jeans and sneakers!)
  • Convenient Location - across from South Station!

Pay Rate:The pay range for this position is $25-$30 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

About the Company:

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.Plymouth Rock Assurance Corporation holds an A.M. Best rating of "A-/Excellent".

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