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Intern Data Science Music Jobs in Cary, NC (NOW HIRING)

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Intern Data Science Music information

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$11

$20

$38

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

As of Aug 29, 2026, the average hourly pay for intern data science music in Cary, NC is $20.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.69 per hour, depending on experience, location, and employer.

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 popular job titles related to Intern Data Science Music jobs in Cary, NC?

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

What cities near Cary, NC are hiring for Intern Data Science Music jobs?

Cities near Cary, NC with the most Intern Data Science Music job openings:

Data Science and AI Intern - RTP 2027

Research Triangle Park, NC • On-site


IBM
IT Services • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students


Other

Posted 4 days ago


Job description

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk

Your role and responsibilities

We are seeking a motivate Intern to join our AI and Data Science development team. In this role, you will contribute to the design, development, and implementation of AI solutions, while also supporting the integration and performance of these systems. You will also look for ways to effienciently collect, clean, analyze, and visualize data to support business decisions that support real-world applications across enterprise systems. You'll work closely with engineering, support, and senior developers to ensure AI models are robust, scalable, and aligned with business needs; and helping to create predictive models, generate insights and help optimize company performance. This is a hands-on technical role ideal for someone passionate about AI and eager to grow their skills in both development and systems-level implementation.

Required education

High School Diploma/GED

Required technical and professional expertise

  • Programming Proficiency: Solid understanding of Python and/or another programming language commonly used in AI (e.g., Java, C++, or R).
  • Mathematics & Statistics: Foundational knowledge in linear algebra, calculus, probability, and statistics.
  • Machine Learning Basics: Familiarity with core ML concepts such as supervised and unsupervised learning, model evaluation, and overfitting.
  • Data Handling: Experience working with data using libraries like NumPy, pandas, or similar.
  • Version Control: Basic understanding of Git and collaborative development workflows.
  • Communication: Ability to clearly articulate technical concepts and collaborate effectively in a team environment.

Preferred technical and professional experience

  • Deep Learning Frameworks: Exposure to TensorFlow, PyTorch, or JAX.
  • AI Project Experience: Prior coursework, personal projects, or research involving AI/ML.
  • Cloud Platforms: Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads.
  • Software Engineering Practices: Understanding of testing, debugging, and code optimization.
  • Visualization Tools: Experience with tools like Matplotlib, Seaborn, or Plotly for data visualization.
  • Knowledge of AI Ethics: Awareness of fairness, bias, and responsible AI development practices.

ABOUT BUSINESS UNIT

IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world's most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Data Science and AI Intern - RTP 2027

Date posted

24-Aug-2026

Job ID

129906

City / Township / Village

RESEARCH TRIANGLE PARK, DURHAM

State / Province

North Carolina

Country

United States

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

66,600.00

Projected Maximum Salary per year

122,100.00

Position type

Internship

Travel required

No Travel

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

Social media


What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

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