Data Science Intern

We’re looking for a Data Science Summer Intern who’s excited to jump into some of the most interesting areas of AI today. You’ll spend time experimenting with prompt engineering, figuring out how to evaluate large language models, and helping design multi-agent systems that work together to solve real problems. You’ll also work alongside data scientists and ML engineers on deep learning projects like time series forecasting, building out our feature store, and running model experiments. The goal is to give you hands-on experience that feels both practical and forward-looking, so you leave with a stronger skill set and a clear sense of how AI gets applied in the real world.

At Global Partners, business starts with people. Since 1933, we’ve believed in taking care of our customers, our guests, our communities, and each other—and that belief continues to guide us.

The Global Spirit is the cornerstone of our commitment to success. As a Fortune 500 company with 90+ years of experience, we’re proud to fuel communities—responsibly and sustainably. We show up every day with grit, passion, and purpose—anticipating needs, building lasting relationships, and creating shared value.

Your Role, Your Impact

YOUR ROLE, YOUR IMPACT

• Design and run prompt engineering experiments, exploring techniques, templates, and evaluation methods to improve LLM outputs, and extend this work into testing multi-agent workflows for tasks like reasoning, summarization, and decision support. 
• Collaborate with data scientists and ML engineers on deep learning projects for time series forecasting, contributing to feature engineering, model training, hyperparameter tuning, and backtesting. 
• Develop and maintain data pipelines and feature store components, ensuring features and datasets are clean, standardized, reusable, and well-documented. 
• Prototype and evaluate models using traditional ML and deep learning approaches, compare against baselines, and apply MLOps practices like experiment tracking, reproducibility, and containerization to prepare successful prototypes for production. 
• Work in cloud environments (AWS, GCP, or Azure) to train and scale models, and clearly document workflows, experiments, and results for team adoption and future use. 

Qualifications

Qualifications:

• Currently pursuing a Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related field; prior co-op/internship/full-time experience in DS/ML or software engineering is a plus. 
• Strong programming skills in Python, with experience in ML libraries such as PyTorch, TensorFlow, and Scikit-learn, and proficiency in data preprocessing using Pandas, NumPy, and (optionally) Spark. 
• Solid understanding of machine learning concepts, including model training, evaluation, backtesting, and feature engineering. 
• Familiarity with software engineering and MLOps practices, including Git for version control, testing frameworks, experiment tracking (MLflow, Weights & Biases), containerization with Docker, and reproducibility standards. 
• Comfort working in cloud environments (AWS, GCP, or Azure) and with database systems (SQL/NoSQL), including contributing to reusable components like a feature store. 
• Strong communication skills with the ability to clearly document workflows, tools, and findings for team adoption. 
• Bonus: Hands-on exposure to GenAI and agent frameworks (LangChain, LangGraph, CrewAI), including platforms and tooling such as Amazon Bedrock Agents, MCP servers, A2A patterns/frameworks, and evaluation tools like Braintrust.

We encourage you to learn more about our Emerging Leaders Programs here.

Pay Range

$16.03 - $20.46

The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.

Our Commitments to You

Competitive Pay - We offer competitive salaries and opportunities for growth within.

Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.

The Road Ahead – We offer 401k and a match component. We also provide tuition reimbursement; this benefit is offered after 6 months of service.

Professional Development – We value lifelong learning and have many internal development programs and access to other on-demand learning for continued career growth.

These commitments are offered to employees in permanent roles, as part of our support for long-term growth and success

What to Expect From the Hiring Process

We value passion and potential. Please apply if you’re qualified and interested—we’d love to hear from you.

A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match.

Interviews are conducted virtually and in person, depending on the role. We’ll provide more details about next steps if selected to move forward.

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-747-9675 or 781-7GP-WORK.

Disclaimer. At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know. In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.