2027 Intern Product Support – Data Scientist

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Top Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman is seeking Data Scientists – Machine Learning and Predictive Analytics to join the Aeronautics Sector Intern Program . This position will be located in San Diego, CA . The qualified candidate will become part of Northrop Grumman’s Product Support organization. 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 that may include: • 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.   Basic Qualifications:  A candidate, regardless of age and hiring source, must meet ALL of the below criteria. The candidate must:  • 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) as well as Program Special access within a reasonable period of time, as determined by the company to meet its business needs (U.S. citizenship is a pre-requisite)   Preferred 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 optimiz