Data Science Intern

We Began As An Original. We Remain An Original At The Top Of The Convenience Industry. Our company invented the concept of convenience retailing. But we didn’t stop there. 7-Eleven® has captured the world with a proven willingness and ability to innovate. We were the first company in America to offer fresh-brewed to-go coffee. More than six million of our Slurpee® beverages have been sipped since 1966. And, to continuously stay ahead of the curve, we introduce more than 2,500+ new products each year.

With over 84,000 global locations, 7-Eleven Inc. is the world’s largest operator, franchiser and licensor of convenience stores and is also one of the nation’s largest independent gasoline retailers.  The company continues to achieve operational accolades, win awards in franchising and drive innovation in retail in the mission to make life a little easier for our guests by being where they need us, when they need us.

7-Eleven Inc. has several paid opportunities for 2025 Summer Internships.  Each internship opportunity will occur during the summer months, (10-12 weeks), focused on a specific functional area, and will provide the candidate with a depth experience within the area, culminating in a project presentation to functional leaders.  Each intern will work closely with a coach who will meet regularly to discuss project progress, provide direction and ongoing feedback. In addition, each intern will attend a lunch series which will provide a cross-functional view into the organization and give the interns exposure to senior leadership. There will be a robust series of events that include an in store-experience, hack day, and capstone presentation. The interns will also have the experience of touring a store and learning about our distribution systems. 

We are looking for a motivated Data Science Intern to join our team. In this role, you will gain hands-on experience working with real-world data, applying statistical and machine learning techniques, and contributing to data-driven decision-making. This internship is an excellent opportunity for students or recent graduates who are eager to develop their technical skills and gain industry experience in data science. 

Key Responsibilities: 

Data Analysis and Exploration: 

Assist in analyzing large datasets to uncover trends and insights. 

Support data interpretation and communicate findings to both technical and non-technical stakeholders. 

Machine Learning and Predictive Modeling: 

Work with the team to develop and experiment with machine learning models. 

Help evaluate model performance and optimize algorithms for better accuracy. 

Data Cleaning and Preprocessing: 

Assist in cleaning and preparing raw data for analysis and modeling. 

Address missing or inconsistent data to maintain high data quality. 

Statistical Analysis and Experimentation: 

Conduct basic statistical analysis to validate hypotheses. 

Work on designing and analyzing experiments to support business decisions. 

Feature Engineering and Data Transformation: 

Explore and create relevant features to improve model performance. 

Learn about feature selection techniques to enhance predictive accuracy. 

Data Visualization and Communication: 

Create visualizations using tools like PowerBI, matplotlib, or seaborn to present data insights. 

Assist in preparing reports and presentations for stakeholders. 

Collaboration and Learning: 

Work closely with data scientists, engineers, and business teams to understand data needs. 

Stay updated with the latest data science trends and technologies. 

Qualifications: 

Education: 

Currently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. 

Skills and Experience: 

Programming: Familiarity with Python or R for data analysis. 

Data Manipulation: Experience with Pandas or similar libraries. 

Machine Learning: Basic understanding of supervised and unsupervised learning. 

Data Visualization: Experience with PowerBI, matplotlib, or seaborn is a plus. 

Databases: Exposure to SQL and database querying is preferred. 

Statistics: Understanding of basic statistical concepts and hypothesis testing. 

What We Offer: 

Hands-on experience with real-world datasets and business problems. 

Mentorship from experienced data scientists and engineers. 

Opportunity to contribute to meaningful projects that impact business decisions. 

A collaborative and learning-focused environment. 

This internship is a great stepping stone for those looking to start a career in data science. If you are passionate about working with data and eager to learn, we encourage you to apply!