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

As of Sep 6, 2026, the average hourly pay for internship data science sustainability in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship data science sustainability?

An Internship in Data Science Sustainability is a temporary position where students or recent graduates work on projects that apply data science techniques to sustainability challenges. Interns may analyze environmental data, develop predictive models, or help organizations make data-driven decisions to improve their environmental impact. These internships provide hands-on experience with tools like Python, R, and machine learning in the context of real-world sustainability issues. The role often involves working with multidisciplinary teams and contributing to projects focused on energy efficiency, waste reduction, or climate change. It's an excellent opportunity to gain practical skills while supporting efforts toward a more sustainable future.

What do internship data science sustainability interns do?

As a Data Science Sustainability intern, you'll often work closely with cross-functional teams to analyze large datasets related to environmental impact, energy usage, or supply chain efficiency. Interns are frequently tasked with developing data models, visualizations, or dashboards that help guide the organization’s sustainability initiatives. You may also support ongoing research by cleaning and preparing data, running exploratory analyses, or evaluating the effectiveness of current sustainability programs. This hands-on experience allows you to directly contribute to projects that have tangible environmental and business impacts, while learning from experienced data scientists and sustainability professionals.

What are the key skills and qualifications needed to thrive as an internship data science sustainability?

To excel as an Internship Data Science Sustainability, you need a solid understanding of statistics, data analysis, and environmental science, generally supported by coursework or related academic experience. Familiarity with data analysis tools like Python or R, and platforms such as SQL databases and data visualization software, is typically expected. Strong analytical thinking, effective communication, and a passion for sustainable development will set you apart. These skills and qualities are essential for translating data into actionable insights that support impactful sustainability initiatives.
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Infographic showing various Internship Data Science Sustainability job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

2027 Summer Internship - Data Science & Analytics

Home Depot

Atlanta, GA • On-site

Full-time

Posted 6 days ago


Home Depot rating

7.4

Company rating: 7.4 out of 10

Based on 6,490 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


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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