À propos de ce poste Data Science Intern chez Leidos
Join Leidos’ mission-focused engineering team and deliver software that powers data analytics, computer vision, and AI capabilities for national security customers. At Leidos, we don’t just offer internships - we offer career acceleration. This is your chance to work alongside industry-leading experts in Artificial Intelligence (AI), autonomous systems, and multi-modal information retrieval.
Leidos is seeking a passionate and driven Data Science Intern to join our Arlington, VA team supporting our national security customer. You’ll work side-by-side with system/software engineers and research/data scientists to help evolve a cutting-edge production platform that combines microservices, data search & analytics, AI and Machine Learning services. Through mentorship, collaboration, and exposure to challenging technical work, you’ll accelerate your career path and make a real-world impact.
Primary Responsibilities
- Collaborate with a multidisciplinary team of experts in AI, machine learning, and software engineering.
- Gain hands-on experience with AWS cloud services and prototype development.
- Enhance your skills in data analytics, anomaly detection, and visualization tools.
- Perform ETL tasks to ensure data consistency, quality, and security.
- Develop Autonomous Agents as part of suite of tools to coordinate information discovery across different data sources.
Basic Qualifications
- Currently enrolled and pursuing a Bachelor or Master’s degree in the field of Data Science, Data Analytics, Computer Science, Mathematics, Statistics, or related fields
- Software development skills including developing and maintaining code bases
- Familiar with at least one programming language like Python, Java, C/C++.
- Experience with at least one of the following machine learning libraries SciKit Learn, Keras, TensorFlow, or PyTorch
- Experience or educational courses/projects in Machine Learning, and/or Text
- Must be U.S. Citizen
- Eligible to obtain and maintain a Secret security clearance. Leidos will guide you through the clearance process.
Preferred Qualifications
- Experience with Big Data platforms like Hadoop, Azure or Spark.
- Hands-on experience with prototype development and data visualization tools (e.g., Tableau, D3.js).
- Knowledge of text mining tools and techniques, including summarization, entity extraction, and anomaly detection.
- Familiarity with version control systems like Git and IDEs such as VS Code.
- Practical experience with statistical analysis and/or experience applying data analytics
- Hands-on experience with intelligent systems and machine learning
- Experience with interpretability of deep learning models
- Ability to obtain /maintain Top Secret security clearance with polygraph.
Work location and schedule
- Arlington, VA. Hybrid: 4 days on-site, 1 day remote per week.
- 8–10 week internship, target start May/June 2027
How to stand out
- Share a link to your GitHub/portfolio and briefly describe a project you’re proud of (what you built, technologies used, and your role).
- If team-based, clarify your individual contributions.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.
Original Posting:
November 2, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $57,850.00 - $104,575.00The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
