2027 Intern Product Support, Data Scientist

About the Role

This position will be located in San Diego, CA. As an Intern, you’ll participate in a summer internship program to develop competencies in a variety of Data Science, Machine Learning, and Predictive Analytics specializations. The qualified candidate will become part of Northrop Grumman’s Product Support organization.

Key Responsibilities

• Collaborating closely with software engineers, analysts, and data scientists to understand data requirements and deliver robust, integrated solutions.
• Architecting and developing custom, maintainable data science solutions from the ground up.
• Building high-performance statistical and machine learning tools to derive insights from complex data sets.
• Performing deep data modeling and abstracting reusable patterns for long-term scalability.
• Writing modular, maintainable code and contributing to tests and documentation for data architectures, workflows, and processes.
• Applying and championing software engineering best practices in the data domain, including unit/integration testing, CI/CD automation (e.g., Git, Docker), and strong documentation.
• Tuning and optimizing complex algorithms within an on-premise infrastructure for performance and reliability.

Requirements & Tech Stack

• Be enrolled full-time and pursuing an undergraduate or graduate degree from an accredited college/university AND graduating after August 2027.
• Be majoring in Data Science, Computer Science, Software Engineering, Applied Mathematics, or related STEM (Science, Technology, Engineering or Math) degree.
• Be available to work full-time (40 hours per week) for at least 10 weeks during summer 2027.
• Be able to obtain and maintain a U.S. Government security clearance (U.S. citizenship is a pre-requisite).

Qualifications

• Have an overall cumulative GPA of 3.25 out of 4.0 or higher.
• Previous internship/co-op experience, leadership & teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular).
• Recent academic experience in machine learning, deep learning, software development, and/or data engineering.
• Strong programming skills in Python and SQL.
• Experience with C/C++.
• Familiarity with CI/CD pipelines and version control tools (e.g., Git, Docker).
• Familiarity with libraries and frameworks such as SQLAlchemy, NumPy, Pandas, scikit-learn, and PyTorch.
• Ability to troubleshoot and optimize complex data queries and workflows.
• Familiarity with big data concepts, machine learning pipelines, and MLOps.
• Excellent problem-solving skills with the ability to troubleshoot and optimize across the entire data stack.

Relocation assistance may be available.

Travel: Yes, 10% of the Time.