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Data Scientist Internship Jobs in Raleigh, NC (NOW HIRING)

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... Data Internships Preparation for Social Impact * Exploring Machine Learning Appointments will be ...

The Community Research Collaborative Intern offers a variety of internship opportunities for students eager to explore applied research, data science, evaluation, design, and community engagement.

The Community Research Collaborative Intern offers a variety of internship opportunities for students eager to explore applied research, data science, evaluation, design, and community engagement.

This internship provides hands-on experience in the administration of local, state, and federal ... Data Analytics, Computer Science, Information Systems, Communications, or a related field.

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Data Scientist Internship information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do data scientist internship jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data scientist internship in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

What would a data science intern do?

A data science intern assists with data collection, cleaning, and analysis using tools like Python or R. They support the development of models, generate reports, and learn industry-standard techniques under supervision to gain practical experience in data-driven decision making.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for aspiring professionals, including data scientists interested in analytics and business intelligence roles within these organizations.

What is the difference between Data Scientist Internship vs Data Analyst Internship?

AspectData Scientist InternshipData Analyst Internship
Required CredentialsTypically pursuing or recent graduate in Data Science, Computer Science, or related fieldsOften pursuing or recent graduate in Statistics, Business, or related fields
Work EnvironmentCollaborates on advanced analytics, machine learning models, and predictive analyticsFocuses on data cleaning, reporting, and descriptive analytics
Employer & Industry UsageUsed in tech, finance, healthcare, and industries emphasizing AI and machine learningCommon in marketing, retail, and business intelligence sectors

While both internships involve working with data, Data Scientist Internships focus on building models and advanced analytics, whereas Data Analyst Internships emphasize data reporting and descriptive analysis. The choice depends on your skills and career goals in data roles.

Is 30 an hour good for an internship?

For a Data Scientist Internship, earning $30 an hour is considered above average in many regions, as internships typically pay between minimum wage and $20 per hour. This rate may reflect strong skills in programming, data analysis, and familiarity with tools like Python or R. However, pay standards vary by location and company size, so it's important to compare with local market rates and internship expectations.

What kind of projects and tasks can I expect to work on during a Data Scientist Internship?

As a Data Scientist Intern, you'll typically work on real-world data problems, such as cleaning and analyzing large datasets, developing predictive models, and visualizing insights for stakeholders. You might collaborate closely with data engineers, software developers, and business analysts to support ongoing projects or conduct exploratory data analysis for new initiatives. Interns often have opportunities to present their findings and contribute to decision-making processes, gaining hands-on experience with industry-standard tools and methodologies. The work environment is usually dynamic and supportive, with mentorship from experienced data scientists to help you grow your technical and analytical skills.

What is a Data Scientist Internship?

A Data Scientist Internship is a temporary, entry-level position where students or recent graduates gain hands-on experience working with real-world data. Interns typically assist with data collection, cleaning, analysis, and visualization under the supervision of experienced data scientists. The role helps interns develop technical skills in programming, statistics, and machine learning while contributing to projects that solve business problems. Internships often serve as a stepping stone to a full-time data science career, providing valuable industry exposure and networking opportunities.

What Are the Qualifications to Get a Data Scientist Internship?

To get a data scientist internship, you must either be pursuing a degree in data science, applied math, or computer science or have recently completed a degree in a related area. To qualify for an intern position, you need to have a strong background in math, and you must understand programming languages like Python, Java, and C++. As an intern, you need to be able to follow directions and learn new concepts rapidly. Additional qualifications include excellent grades, strong communication skills, an understanding of algorithms, and extensive knowledge of statistical and predictive modeling concepts.

Which internship is best for data science students?

The best internship for data science students typically offers hands-on experience with data analysis, machine learning, and programming tools like Python or R. Look for programs that provide mentorship, real-world projects, and opportunities to develop skills in data visualization and statistical modeling.

What are the key skills and qualifications needed to thrive as a Data Scientist Intern, and why are they important?

To excel as a Data Scientist Intern, you need a solid grounding in statistics, programming (typically Python or R), and data analysis, often supported by coursework or a degree in a quantitative field. Familiarity with tools like Jupyter Notebooks, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly expected. Strong problem-solving skills, curiosity, and effective communication help interns interpret data and explain insights to diverse audiences. These skills enable interns to contribute meaningfully to projects, bridge technical and business goals, and accelerate their learning in a real-world data science environment.
What are the most commonly searched types of Data Scientist jobs in Raleigh, NC? The most popular types of Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Scientist Internship jobs? Cities near Raleigh, NC with the most Data Scientist Internship job openings:
Infographic showing various Data Scientist Internship job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.
Lecturer of Data Science

$4.0K/mo

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


North Carolina State University rating

6.8

Company rating: 6.8 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

454th of 611 rated colleges and universities


Job description

Posting Details
Posting Information
Posting Number
PG193056EP
Internal Recruitment
No
Working Title
Lecturer of Data Science
Anticipated Hiring Range
$4K per credit (additional compensation for course customization or supervisory duties as needed).
Work Schedule
Varies depending on course assignment. (3 hours per week per credit or course equivalent.)
Job Location
Raleigh,NC
Department
Data Science and AI Academy
About the Department
The Data Science and AI Academy is the first of several NC State Academies, which are true university-wide efforts involving all 10 colleges. The Data Science and AI Academy's goal is to network and catalyze data science across all three pillars of the university's land-grant mission: education, research and service to the state of North Carolina. At NC State, data science and AI are for everyone.
The Data Science and AI Academy offers 1-credit project-based courses and customized non-credit courses on a variety of topics grounded in our ADAPT course model (All Campus Data Science Accessible Project-based Teaching and Learning). We seek instructors from industry, government and academia who are excited about broadening participation in data science and welcoming learners from many disciplines.
Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being.
What we offer:
  • Medical, Dental, and Vision
  • Flexible Spending Account
  • Retirement Programs
  • Disability Plans
  • Life Insurance
  • Accident Plan
  • Paid Time Off and Other Leave Programs
  • 12 Holidays Each Year
  • Tuition and Academic Assistance
  • And so much more!

Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Essential Job Duties
The successful candidate(s) will teach undergraduate and/or graduate courses in Data Science according to the Data Science and AI Academy's needs and the applicant's knowledge, skills, and ability. Opportunities are also available to teach professional, customized, and continuing education Data at Work courses.
Our courses attract undergraduates, graduate students, faculty and staff from across the university as well as learners outside of the university. We have permanent and special topics courses at the 200 level (no prerequisites), 400 level (skills-based prerequisites, such as particular programming concepts) and graduate level courses at the 500 level. Instructors will join a professional teaching community that meets twice monthly to discuss data science teaching and learning research and practice.
The for-credit courses meet for 50 minutes once a week for a semester and can be delivered in person or online. Data at Work (not-for-credit) courses have a customized schedule.
Core Courses:
  • Introduction to R/Python for Data Science,
  • Introduction to Data Visualization,
  • Data Communication,
  • Introduction to AI Ethics,
  • Data Science for Social Good,
  • Introduction to Data Science for Cybersecurity
  • Measuring Success
  • Data Wrangling and Web Scraping,
  • Data Internships Preparation for Social Impact
  • Exploring Machine Learning

Appointments will be for one or two semesters with the possibility of renewal.
Note that this position is only for teaching a few (often just 1) credits, not full-time.
Other Responsibilities
Qualifications
Minimum Education and Experience
  • Requires master's degree

Other Required Qualifications
  • Excellent strong communication and interpersonal skills and sense of collaboration.

Preferred Qualifications
N/A
Required License(s) or Certification(s)
N/A
Valid NC Driver's License required
No
Commercial Driver's License required
No
Recruitment Dates and Special Instructions
Job Open Date
12/04/2023
Anticipated Close Date
Special Instructions to Applicants
Please submit a curriculum vitae, cover letter and 3 reference contacts for consideration. Also required is a teaching statement of no more than 1 page that includes how your teaching practices help create a classroom environment that aligns with the ADAPT course model (see DSA website for details) and demonstrates NC State's goals and values as described in the Wolfpack 2030 Powering the Extraordinary Strategic Plan: https://strategicplan.ncsu.edu/current-plan/wolfpack-2030-powering-the-extraordinary/
In your cover letter please list which of the following core courses you would like to be considered for as an instructor:
  • Introduction to R/Python for Data Science,
  • Introduction to Data Visualization,
  • Data Communication,
  • Introduction to AI Ethics,
  • Data Science for Social Good,
  • Introduction to Data Science for Cybersecurity
  • Measuring Success
  • Data Wrangling and Web Scraping,
  • Data Internships Preparation for Social Impact
  • Exploring Machine Learning

Optional: if you are interested in proposing a new course, include a draft of a course idea based on theADAPT course model that includes the course title, a short course description, 4 to 6 learning objectives, an idea for final project, the level of the course (200, 400 or 500) and a list of prerequisite skills that are required for 400 and 500 level courses.
Position Details
Position Number
DSA2024F-1
Position Type
Non-Tenure-Track Faculty
Full Time Equivalent (FTE) (1.0 = 40 hours/week)
.075
Appointment
Non-Recurring
Mandatory Designation - Adverse Weather
Non Mandatory - Adverse Weather
Mandatory Designation - Emergency Events
Non Mandatory - Emergency Event
Department ID
231010 - Data Science Academy
EEO
NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.
If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

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About North Carolina State University

Sourced by ZipRecruiter

North Carolina State University (NCSU), located in Raleigh, NC, US, is a leading educational institution with a strong emphasis on research, academics, and public service. Established in 1887, NCSU operates in the education industry and endeavors to foster student success, and promote economic development by providing high-quality, affordable education, and conducting groundbreaking research across a variety of disciplines. With more than 100 majors, its academic offerings range from undergraduates to postgraduates along with doctoral studies - in various fields like engineering, natural resources, humanities, and social sciences. NCSU is firmly anchored on the core values of respect, responsibility, integrity, and innovation. Its mission is to create economic, societal, and intellectual prosperity for the people of North Carolina and the nation.

Industry

Colleges, universities, and professional schools

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1887