Fuel Pricing Data Scientist Intern

my7elevenhr; Irving (TX); On-site; USD 100,000 - 123,000; Full time

Job summary

7-Eleven Inc. seeks a Fuel Pricing Data Scientist Intern to support the development, testing, and monitoring of machine learning models driving data-driven fuel pricing decisions across our retail network. You will work with time-series data, pricing systems, and enterprise ML platforms.

The role offers hands-on experience with production-grade modeling, ML workflows, and cloud-based data platforms, under mentorship from senior data scientists and ML engineers.

Qualifications

• Pursuing a Bachelor’s or Master’s degree in a quantitative field.
• Coursework or hands-on experience in Python, ML/Statistics, and SQL.

Responsibilities

• Support development and testing of ML models for dynamic fuel pricing.
• Assist time-series forecasting workflows for price movement and demand.
• Perform data cleaning, feature engineering, and EDA on pricing datasets.
• Write Python and SQL code to support modeling and data pipelines in Databricks.
• Help validate model outputs via back-testing and diagnostics.
• Document models, assumptions, and experiment results.
• Collaborate with senior team on pricing experiments and monitoring.
• Present findings to technical and non-technical stakeholders.
• Learn and apply emerging AI tools to support modeling workflows.

Skills

Python

LLM experience

Statistics

SQL

Education

Bachelor's or Master's in Data Science/CS/Math/Engineering

Tools

Pandas

NumPy

scikit-learn

Spark/Databricks

Git

Job description

7-Eleven is an iconic family of brands with over 86,000 locations, surpassing every retailer in the world. We revolutionize convenience, restaurants and fuel through cutting edge innovation - working hard to be the customer's first choice. 7-Eleven empowers our employees to "activate awesome" and make a meaningful impact in their stores and communities every day. If you're ready to grow, lead and make a difference, come join our team and help shape the future of convenience.

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 86,000 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.

About these Opportunities: 7-Eleven Inc. has several opportunities for Summer Internships. Each internship opportunity will occur during the summer months, (11 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. The interns will also have the experience of touring a store and learning about our distribution systems.

This is a eleven (11) week paid internship program. You must be currently enrolled in college pursuing an undergraduate or master's degree. This opportunity does not include relocation or living stipend.

Position Summary

The Fuel Pricing Data Scientist Intern will support the development, testing, and monitoring of machine learning models that drive data-driven fuel pricing decisions across our retail network. This role is designed for a highly motivated student who wants hands‑on experience working with real-world time-series data, pricing systems, and enterprise ML platforms. The intern will work closely with Senior and Lead Data Scientists and gain exposure to production‑grade modeling, MLOps, and large-scale data infrastructure.

Key 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.

Required Qualifications

• 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 Qualifications

• 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.

What You'll Gain

• 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