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Data Science Unpaid Intern Jobs in Raleigh, NC (NOW HIRING)

North Carolina State University

LAS Intern

Raleigh, NC · On-site

$14.50 - $19.50/hr

Potential areas of research include but are not limited to: social sciences, applied sciences and ... data and testing customer requirements- Experience with contributing to the design and planning of ...

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

As of Aug 21, 2026, the average hourly pay for data science unpaid intern in Raleigh, NC is $16.56, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.70 per hour, depending on experience, location, and employer.

What is a data science unpaid intern?

A Data Science Unpaid Intern job is a temporary, unpaid position where individuals gain hands-on experience in data analysis, machine learning, and statistical modeling. Interns work on real-world projects, assisting with data cleaning, visualization, and algorithm development under the guidance of experienced professionals. This role provides valuable exposure to industry tools like Python, SQL, and Tableau, helping interns build their resumes and enhance their technical skills. Although unpaid, it offers networking opportunities and practical experience that can be beneficial for securing future paid positions in data science.

What kinds of projects or tasks can I expect to work on as a data science unpaid intern?

As a Data Science Unpaid Intern, you can expect to assist with data cleaning, exploratory data analysis, and building simple predictive models under the supervision of experienced data scientists. You might work on tasks such as processing large datasets, developing data visualizations, and supporting project documentation. Interns often collaborate with cross-functional teams on real business problems, gaining exposure to the end-to-end analytics workflow. This hands-on experience not only strengthens your technical abilities but also provides valuable insight into the day-to-day work environment in the data science field.

What are the key skills and qualifications needed to thrive in the data science unpaid intern position, and why are they important?

To thrive as a Data Science Unpaid Intern, a strong grounding in statistics, programming (commonly Python or R), and foundational knowledge of machine learning concepts is essential, typically supported by coursework or a degree in a quantitative field. Familiarity with data analysis tools such as pandas, NumPy, Jupyter notebooks, and experience with data visualization libraries like Matplotlib or Tableau are highly valued. Effective communication, eagerness to learn, and attention to detail help interns collaborate within teams and quickly adapt to new challenges. These skills are critical for contributing to real-world data projects and acquiring practical experience that prepares interns for future data science roles.

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What cities near Raleigh, NC are hiring for Data Science Unpaid Intern jobs?

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Data Science Unpaid Intern jobs near you
Infographic showing various Data Science Unpaid Intern job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $34,446 per year, or $16.6 per hour.

Data Scientist

U.S. Department of Agriculture (USDA)

Raleigh, NC • On-site

$111K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

USDA Forest Service rating

7.4

Company rating: 7.4 out of 10

Based on 120 frontline employees who took The Breakroom Quiz

161st of 295 rated public sector bodies

Job description

The Data Scientist position is within an analytical unit, applying scientific and technical findings to risk analyses, policy decisions, operational data management, and analyses. Responsible for organizing, replicating, architecting, distributing, and reporting on PPQ and cooperator mission data, including geospatial and non-geospatial information.Qualifications:Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement, including specialized experience and/or education, as defined below.
BASIC REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
OR
Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience. In addition to the basic requirement applicants must also possess:
FOR THE GS-13 LEVEL: Applicants must have one year of specialized experience (equivalent to the GS-12 level) that may have been obtained in the private or public (local, county, state, Federal) sectors which demonstrates:
  • Leading complex data science projects from design through deployment by applying analytical methods such as statistics or machine learning, maintaining high data quality, and coordinating with cross-functional teams to meet organizational needs.
  • Building and maintaining large-scale automated workflows to process, manage, and validate complex datasets.
  • Cataloging, documenting, and standardizing datasets and workflows to improve accessibility, discoverability, and reuse.
  • Clearly communicating analytical work to executives, technical staff, and non-technical stakeholders.
Note: There is no education substitution for this grade level.
TRANSCRIPTS are required if:
  • This position requires specific coursework or a degree in a specific field to be basically qualified.
  • This education must have been successfully completed and obtained from an accredited school, college, or university.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:Please see above for education qualification requirement information.Employment Type: OTHER

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