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Data Science Fall Internship Jobs in Atlanta, GA

Our data science teams also embrace staying current with the evolving data science landscape ... Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic ...

Data Scientist

Atlanta, GA · On-site

$95K - $110K/yr

What You Will Bring: * 0-2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.

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Data Science Fall Internship information

See Atlanta, GA salary details

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$40

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

As of Sep 12, 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.

What job categories do people searching Data Science Fall Internship jobs in Atlanta, GA look for?

The top searched job categories for Data Science Fall Internship jobs in Atlanta, GA are:

Infographic showing various Data Science Fall Internship job openings in Atlanta, GA as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $45,014 per year, or $21.6 per hour.

2027 Summer Internship - Data Science & Analytics

Atlanta, GA • On-site

Home Depot
Retail • 10K+ employees

Full-time

Posted 12 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,514 frontline employees who took The Breakroom Quiz


Job description

With a career at The Home Depot, you can be yourself and also be part of something bigger.
Internship Overview
The Home Depot's Summer Internship program offers college students an opportunity to develop leadership skills and gain hands on experience in a corporate environment. During an 11 - week period from May 17 - July 30, 2027, interns will be assigned to a functional team such as Supply Chain, Marketing, e-commerce, Technology, Finance, Operations, Merchandising, Pro, Home Services, Human Resources, etc. Interns will learn more about our retail business and our corporate offices while having the opportunity to work on a pre-assigned project that impacts the function they are supporting. Additionally, interns participate in networking and development activities that set them up for success as they build their careers.
What makes a Great Intern:
  • Action Oriented: Intern takes on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm

  • Manages Ambiguity: Intern effectively navigates and thrives in uncertain situations while using sound judgment to make decisions without having the full picture. Is able to move work forward without all the details

  • Collaboration: Intern contributes to the group's efforts and steps forward to help as needed. Seeks input from others

  • Nimble Learning: Intern actively learns through experimentation when tackling new problems, using both successes and failures as learning fodder

  • Communication: Intern develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audience

  • Customer Focus: Intern builds strong customer relationships and delivers customer-centric solutions

  • Drives Results: Evaluates information to make logical decisions and achieve results despite potential challenges or setbacks.

Data Science & Analytics Internship:
The Data Science and Analytics Intern Program offers talented college students the opportunity to develop their advanced data science skills while supporting the Company's strategic objectives. Intern candidates are assigned to a project aligned to business areas such as Services, e-Commerce, Merchandising, Operations or Finance. The Home Depot's internship program was recently named in the Top 20 in the US and offers college students an opportunity to develop leadership skills and gain hands on experience working with a number of leaders on projects that directly impact the business for one of the world's leading retailers. Data Science interns will focus on working with a variety of data science roles and functions to translate business questions into actionable insights and deliver high quality analytical solutions.
Tasks, responsibilities, and key accountabilities include:
Business Collaboration
  • Participate in meetings across the enterprise data science community, gaining exposure to cross functional business units.

  • Build networking relationships and receive mentoring from team members and top-level management

Communicating Results
  • Communicate findings and project status clearly and professionally through presentations

  • Provide recommendations to upper management.

  • Provide comprehensive report-out to senior leaders on assignments and other related projects

Data Analytics
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities and create high quality analytics solutions

  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python

Preferred Qualifications
  • Working knowledge of Microsoft Office Suite

  • Working knowledge of Tableau

  • Working knowledge of presentation software (e.g., Microsoft PowerPoint)

  • Excellent academic performance

  • Experience in a modern scripting language (preferably Python)

  • Experience running queries against data (preferably with Google BigQuery or SQL)

  • Experience with data visualization software (preferably Tableau)

  • Exposure to statistics, predictive modeling and other data science methodologies

  • Preferred GPA 3.0 or above

Description of Roles: (Career paths that utilize this skillset full-time) :
At The Home Depot, our associates always have room to move up and explore new opportunities. After the Internship, here are some examples of early career roles for interns with a background in Data Science:
  • Data Science Analyst

  • Associate Data Scientist

  • Data Scientist

  • Data Analyst

Location: Interns will be expected to work in-person at the Atlanta Corporate Office (Store Support Center) five days a week (Monday-Friday). Housing assistance will be provided to eligible interns.

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About Home Depot

Sourced by ZipRecruiter

The Home Depot is the world’s largest home improvement specialty retailer, operating a vast network of warehouse-format stores across the United States, Canada, and Mexico. Founded in 1978, the company has established itself as the primary resource for building materials, lawn and garden products, and home décor. Its business model caters to two distinct customer bases: Do-It-Yourself (DIY) homeowners and "Pro" customers, such as professional contractors and tradespeople. Beyond product sales, the company offers an extensive suite of services, including professional installation and one of the largest tool rental operations in North America.

Industry

Retail, manufacturing and personal services

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US

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