7-Eleven is hiring a Fuel Pricing Data Scientist Intern to support the development, testing, and monitoring of machine learning models for data-driven fuel pricing decisions. The intern will work with time-series data, pricing systems, and enterprise ML platforms, collaborating with senior data scientists on modeling, analysis, and monitoring.
Responsibilities
Support the development and testing of machine learning models used for dynamic fuel pricing
Assist with time-series forecasting workflows (e.g., demand, price movement, or market response modeling)
Perform data cleaning, feature engineering, and exploratory data analysis on large pricing and market datasets
Write Python and SQL code to support modeling, analytics, and data pipelines in environments such as Databricks
Help validate model outputs through back-testing, diagnostics, and performance tracking
Contribute to documentation of models, assumptions, and experimental results
Partner with senior team members on pricing experiments, model monitoring, and business analysis
Present findings and insights to technical and non-technical stakeholders
Learn and apply emerging AI tools (e.g., automation, LLMs) to support modeling workflows
Qualification
Required
You must be currently enrolled in college pursuing an undergraduate or master's degree
Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
Coursework or hands-on experience in: Python programming, LLM Experience, and statistics or machine learning, and SQL and data analysis
Strong analytical thinking and problem-solving skills
Ability to work with large datasets and learn complex business processes
Clear communication skills and willingness to collaborate across teams
Preferred
Exposure to time-series forecasting, predictive modeling, or optimization
Familiarity with tools such as:
Pandas, NumPy, scikit-learn
Spark or Databricks
Git for version control
Interest in pricing, economics, retail analytics, or energy markets
Prior internship, research, or project experience in data science or analytics
Benefits
Each intern will work closely with a coach who will meet regularly to discuss project progress, provide direction and ongoing feedback.
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.
The interns will also have the experience of touring a store and learning about our distribution systems.
Hands-on experience with enterprise-scale fuel pricing systems.
Real exposure to production ML, forecasting, and optimization models.
Mentorship from senior data scientists and ML engineers.
Experience working in cloud-based data platforms and MLOps environments.
Visibility into how machine learning directly influences pricing and revenue decisions.
A strong foundation for future full-time Data Scientist or ML Engineer roles.
7-Eleven is a convenience retailer store with retails of food and beverage. It is a sub-organization of Seven & I Holding.
