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Data Science Fall Internship Jobs in Atlanta, GA

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Data Science Fall Internship information

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$40

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

As of Aug 22, 2026, the average hourly pay for data science fall internship in Atlanta, GA is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $16.63 and $23.56 per hour, depending on experience, location, and employer.

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 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 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.

Infographic showing various Data Science Fall Internship job openings in Atlanta, GA as of August 2026, with employment types broken down into 18% Internship, 33% Full Time, 44% Part Time, and 5% Contract. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $45,014 per year, or $21.6 per hour.

Research Fellow/Trainee - Women's Health - Data Science - Health Information Technology - School of

Emory University

Atlanta, GA • On-site

$47K - $64K/yr

Full-time

Re-posted 16 days ago


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Job description

Discover Your Career at Emory University
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the excellence of our academic community.
Description
The School of Nursing seeks a Research Fellow/Trainee to work on "Women's Health and Intersectionality Using Data Science and Health Information Technology.
A full-time postdoctoral traineeship on an NIH funded T32 training grant entitled "Women's Health and Intersectionality Using Data Science and Health Information Technology". The purpose of this T32 program is to prepare nurse scientists who have knowledge and skills to employ data science (DS) and/or health information technologies (HIT) in order to advance health research using innovative methodological approaches. This training will build on the strengths of the Emory University Nell Hodgson Woodruff School of Nursing's currently funded research studies, faculty expertise, and supporting infrastructure. It will address health research questions with a methodological focus on DS and HIT applications. Trainees will develop knowledge and skills in interdisciplinary research methods, understand and apply DS and/or HIT methodologies, and develop and test interventions using these innovative approaches in health research. The program comprises: 1) specific courses related to DS and HIT methodologies; 2) electives to individualize training, develop an area of specialization, and facilitate trainees in interdisciplinary courses; 3) biweekly T32 seminars to foster trainees' integration of course content with other program experiences; 4) 15 hours a week of work on faculty research over several semesters; 5) at least one semester of individualized research practicum with center internships; and 6) participation in an interdisciplinary center on campus that relates to the trainee's research area. The program will engage 17 mentors and 6 interdisciplinary co-mentors. Over 10 research centers/institutes/departments have agreed to collaborate, making this a fully interdisciplinary training program focused on advancing methodological expertise in nursing science through innovative data science and health information technology approaches.
Trainees will be engaged in research activities, research training seminars, interdisciplinary research, preparation of grants, scientific manuscripts, and reports, and work closely with a mentor. The initial appointment is for one year, renewal is expected if progress is satisfactory and funds are available.
Requirements: Applicants to the T32 postdoctoral program must be a citizen or non-citizen national of the United States and must submit official transcripts from previous and/or current institutions and 3 reference letters. Applications to the post-doctoral program should be either enrolled in or graduated from a research-focused doctoral program at the time of application.
Postdoctoral applicants must submit their curriculum vitae and a brief description of their research goals including the next logical step in their research and research training, goals for research development including alignment with the goals of the T32, and interest in a faculty mentor; three letters of reference; and transcripts from their doctoral degree program.
NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs. Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee.
Additional Details
Emory is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law. Emory University does not discriminate in admissions, educational programs, or employment, including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Students, faculty, and staff are assured of participation in university programs and in the use of facilities without such discrimination. Emory University complies with Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity, and affirmative action (for protected veterans and individuals with disabilities). Inquiries regarding this policy should be directed to the Emory University Department of Equity and Civil Rights Compliance, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Telephone: 404-727-9867 (V) | 404-712-2049 (TDD).
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.

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