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Data Science Fall Internship Jobs in Raleigh, NC

She received postdoctoral training at Department of Data Science, Dana-Farber Cancer Institute and ... Hereceived Amazon Research Award (Fall 2024 and Spring 2025), Cisco Faculty Award (2024 and 2025 ...

Finance Intern - Fall 2026

Cary, NC ยท Hybrid

$20 - $34/hr

Currently enrolled in a bachelor's degree program in Finance, Accounting, Computer Science or Data ... Internships at ABB within the United States are not eligible for company-sponsored medical benefits ...

She received postdoctoral training at Department of Data Science, Dana-Farber Cancer Institute and ... Hereceived Amazon Research Award (Fall 2024 and Spring 2025), Cisco Faculty Award (2024 and 2025 ...

It provides employment training, internships, and apprenticeship opportunities at over 3,000 public ... IRB protocols, data collection/storage, statistics). Then observe and participate in our ongoing ...

2025 Fall Intern, Clinical Applications

Durham, NC ยท On-site

$14.50 - $19.25/hr

Pursuing a bachelor's degree in Computer Science, Information Systems, Health Informatics, Data Science, or related field. * A minimum GPA of 3.0 is strongly preferred Travel Expectations * Up to 5% ...

It providesemployment training, internships, and apprenticeship opportunitiesat over 3,000 public ... IRB protocols, data collection/storage, statistics). Then observeand participate in our ongoing ...

Quantitative Associate

Durham, NC ยท On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Prior internship or project experience in finance, asset management, or a related quantitative ...

Quantitative Associate

Durham, NC ยท On-site

$125K - $140K/yr

The Data Science & Risk team serves as a central quantitative hub, partnering with all investment ... Prior internship or project experience in finance, asset management, or a related quantitative ...

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Data Science Fall Internship information

See Raleigh, NC salary details

$11

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$40

How much do data science fall internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science fall internship in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

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

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What cities near Raleigh, NC are hiring for Data Science Fall Internship jobs? Cities near Raleigh, NC with the most Data Science Fall Internship job openings:
Business Intelligence UWEP Internship - Fall 2025

Business Intelligence UWEP Internship - Fall 2025

United Soccer League (USL)

Durham, NC โ€ข On-site

$15.25 - $19/hr

Other

Posted 22 days ago


Job description

Job Title: Business Intelligence UWEP Position Type: Internship - For College Credit Hours Only  Semester: Fall 2025 Location: Remote 

Overview of the United Soccer League (USL)The United Soccer League (USL) is the heartbeat of American soccer. Impacting more than 200 communities across the United States, the USL is the first and only soccer organization in the United States to build a youth-to-professional pathway for both men and women within one ecosystem. That structure includes three professional leagues: Gainbridge Super League (women), USL Championship (men), and USL League One (men); two pre-professional leagues: USL League Two (men) and the USL W League (women); and two youth platforms: USL Academy and USL Youth. Authentic, vital, and exciting, the USL is dedicated to providing an inclusive and memorable soccer experience for players, fans, and communities across our growing "soccer nation."

Program Purpose

Under the direction and guidance of USL Executives and Leaders (mentors), the USL Work Experience Program (UWEP) provides students with the unique opportunity to gain practical sport management experience in a professional sports league setting. By working on various strategic projects and initiatives, UWEP participants will gain hands on experience with league staff as well as member teams.

Participants are tasked with and responsible for partnering within a specialized department but will interact with all league departments across the organization including business development, digital, club services, analytics, and more; with the ultimate goal of providing students with well-rounded practical work experience in sports. 

Position Purpose

Under the direction of the USL Technology & Data Strategy team, the Business Intelligence UWEP supports the department by assisting with maintaining and developing league-wide dashboards. The Participant will assume an integral role in the production of data analytics and distribution of the results.

Duties and Responsibilities

Specific duties include, but are not limited to:

  • Assist with the routine collection of data and updating of established Tableau dashboards.
  • Build Tableau dashboards to track performance in key metrics towards league goals and initiatives.
  • Identify opportunities to implement procedures for new data collection processes and/or data reporting.
  • Translate data across key revenue-driving verticals (e.g., ticketing, corporate partnerships, and consumer products) into targeted analyses, providing insights and recommendations to critical organizational stakeholders that lead to actionable business decisions. 
  • Generate new analysis of match performance data to unlock potential commercial value driven from our partnerships with Stats Perform and Spiideo.
  • Support ad-hoc requests for data; build reports, visualizations, executive dashboards, and presentations.
  • Act in a quality assurance role to ensure dashboards/reports are functioning correctly and to provide any recommendations for improvements.
  • Assist other departments and operational areas as requested to provide a well-rounded overview of working in sports.

Qualifications

  • Participants must be working towards a bachelorโ€™s or masterโ€™s degree in a related field and/or training and must certify that they are able to receive college course credit from an accredited college or university for their participation.
  • Solid computer skills and proficiency with MS Word, Excel, PowerPoint, Outlook are a must.
  • Excellent verbal and written communication skills are required. 
  • Positive attitude and strong work ethic are a must. Must have a โ€œteam-firstโ€ mentality with an eagerness to learn. 
  • Should be extremely organized and detail oriented, with a focus on quality and consistency. 
  • While completing the USL Work Experience Program remotely, participants must have access to a computer or laptop with reliable internet connection. 
  • Familiarity of Tableau, or another data visualization software.
  • Familiarity of SQL, or other programming languages.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.