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Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)

The Home Depot

Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)

The Home Depot logo

The Home Depot

full-time

Posted: September 15, 2025

Number of Vacancies: 1

Job Description

**Internship format will be 4 days a week in office (Monday - Thursday & Friday's Remote)

**Internship format will be 4 days a week in office (Monday - Thursday & Friday's Remote)

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 18 - July 31, 2026, 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. 

 

Description of the major/subject area 

The Data Science 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) four days a week (Monday-Thursday) and will work remotely one day a week (Fridays) during the 11-week program. Housing assistance will be provided to eligible interns. 

 

Key Responsibilities

  • Participate in meetings across the enterprise data science community
  • Build networking relationships and receive mentoring from team members and top-level management
  • 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
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities
  • Create high quality analytics solutions
  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python

Required 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

Required Skills

  • Action Oriented
  • Manages Ambiguity
  • Collaboration
  • Nimble Learning
  • Communication
  • Customer Focus
  • Drives Results
  • Strategic Thinking
  • Data Analytics

Benefits & Perks

  • Housing assistance for eligible interns
  • Opportunity to develop leadership skills
  • Hands-on experience in a corporate environment
  • Networking and development activities
  • Exposure to a variety of data science roles and functions

Locations

  • Atlanta, GA, US 30339 (Remote)

Salary

27 - 27 USD / yearly

Estimated Salary Rangehigh confidence

60,000 - 75,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Action Orientedintermediate
  • Manages Ambiguityintermediate
  • Collaborationintermediate
  • Nimble Learningintermediate
  • Communicationintermediate
  • Customer Focusintermediate
  • Drives Resultsintermediate
  • Strategic Thinkingintermediate
  • Data Analyticsintermediate

Required Qualifications

  • Working knowledge of Microsoft Office Suite (experience)
  • Working knowledge of Tableau (experience)
  • Working knowledge of presentation software (e.g., Microsoft PowerPoint) (experience)
  • Excellent academic performance (experience)
  • Experience in a modern scripting language (preferably Python) (experience)
  • Experience running queries against data (preferably with Google BigQuery or SQL) (experience)
  • Experience with data visualization software (preferably Tableau) (experience)
  • Exposure to statistics, predictive modeling and other data science methodologies (experience)
  • Preferred GPA 3.0 or above (experience)

Responsibilities

  • Participate in meetings across the enterprise data science community
  • Build networking relationships and receive mentoring from team members and top-level management
  • 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
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities
  • Create high quality analytics solutions
  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python

Benefits

  • general: Housing assistance for eligible interns
  • general: Opportunity to develop leadership skills
  • general: Hands-on experience in a corporate environment
  • general: Networking and development activities
  • general: Exposure to a variety of data science roles and functions

Target Your Resume for "Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)" , The Home Depot

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Tags & Categories

InternshipRetailHome ImprovementInternship

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The Home Depot logo

Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)

The Home Depot

Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)

The Home Depot logo

The Home Depot

full-time

Posted: September 15, 2025

Number of Vacancies: 1

Job Description

**Internship format will be 4 days a week in office (Monday - Thursday & Friday's Remote)

**Internship format will be 4 days a week in office (Monday - Thursday & Friday's Remote)

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 18 - July 31, 2026, 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. 

 

Description of the major/subject area 

The Data Science 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) four days a week (Monday-Thursday) and will work remotely one day a week (Fridays) during the 11-week program. Housing assistance will be provided to eligible interns. 

 

Key Responsibilities

  • Participate in meetings across the enterprise data science community
  • Build networking relationships and receive mentoring from team members and top-level management
  • 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
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities
  • Create high quality analytics solutions
  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python

Required 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

Required Skills

  • Action Oriented
  • Manages Ambiguity
  • Collaboration
  • Nimble Learning
  • Communication
  • Customer Focus
  • Drives Results
  • Strategic Thinking
  • Data Analytics

Benefits & Perks

  • Housing assistance for eligible interns
  • Opportunity to develop leadership skills
  • Hands-on experience in a corporate environment
  • Networking and development activities
  • Exposure to a variety of data science roles and functions

Locations

  • Atlanta, GA, US 30339 (Remote)

Salary

27 - 27 USD / yearly

Estimated Salary Rangehigh confidence

60,000 - 75,000 USD / yearly

Source: xAI estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Action Orientedintermediate
  • Manages Ambiguityintermediate
  • Collaborationintermediate
  • Nimble Learningintermediate
  • Communicationintermediate
  • Customer Focusintermediate
  • Drives Resultsintermediate
  • Strategic Thinkingintermediate
  • Data Analyticsintermediate

Required Qualifications

  • Working knowledge of Microsoft Office Suite (experience)
  • Working knowledge of Tableau (experience)
  • Working knowledge of presentation software (e.g., Microsoft PowerPoint) (experience)
  • Excellent academic performance (experience)
  • Experience in a modern scripting language (preferably Python) (experience)
  • Experience running queries against data (preferably with Google BigQuery or SQL) (experience)
  • Experience with data visualization software (preferably Tableau) (experience)
  • Exposure to statistics, predictive modeling and other data science methodologies (experience)
  • Preferred GPA 3.0 or above (experience)

Responsibilities

  • Participate in meetings across the enterprise data science community
  • Build networking relationships and receive mentoring from team members and top-level management
  • 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
  • Use strategic thinking and perform data analytics for a variety of business problems and opportunities
  • Create high quality analytics solutions
  • Apply a wide variety of database applications and analytical tools, including SQL, Google Cloud Big Query and Python

Benefits

  • general: Housing assistance for eligible interns
  • general: Opportunity to develop leadership skills
  • general: Hands-on experience in a corporate environment
  • general: Networking and development activities
  • general: Exposure to a variety of data science roles and functions

Target Your Resume for "Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)" , The Home Depot

Get personalized recommendations to optimize your resume specifically for Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office). Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Analytics/Data Science Undergraduate Internship (Summer 2026 - Hybrid/In-Office)" , The Home Depot

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

InternshipRetailHome ImprovementInternship

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