Summary
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. They are seeking a Data Analytics Summer Intern to support the NIH/CSR mission by developing data-driven and AI-powered solutions. The intern will work on building cloud-based platforms, automation tools, and machine learning models to enhance scientific review processes and operational efficiency.
Responsibilities
- Support building end-to-end pipelines for document processing, classification, and data extraction
- Participate in designing and implementation of machine learning models for classification, prediction, and sentiment analysis
- Develop AI-powered tools to automate workflows, including document summarization and task extraction
- Work with structured and unstructured data, including text, images, and transcripts
- Collaborate with cross-functional teams including data scientists, analysts, and stakeholders
- Generate technical documentation, pseudocode, and test cases to support development efforts
- Perform data analysis and create visualizations to support decision-making
- Ensure data security, including handling of sensitive information such as PII
- Participate in testing, debugging, and deployment of applications
Skills
- Ongoing studies within a bachelor's program in Computer Science or similar field with a minimum 3.0 GPA
- Experience with Python, Supervised Learning, Convolutional Neural Networks (PyTorch) is preferred
- Experience with JavaScript and JS frameworks such as React
- Solid understanding of software development process fundamentals
- Strong, self-motivated desire to learn new programming languages, tools, frameworks, and techniques
- Ability to complete tasking independently with minimal direct supervision
- Ability to work and collaborate effectively within a multi-disciplined engineering team
- Team players who can express and explain their ideas to others
- Previous internship
- Ability to obtain a Public Trust security clearance
- U.S. Citizenship is required
Qualifications
Must Haves
- Ongoing studies within a bachelor's program in Computer Science or similar field with a minimum 3.0 GPA
- Experience with Python, Supervised Learning, Convolutional Neural Networks (PyTorch) is preferred
- Experience with JavaScript and JS frameworks such as React
- Solid understanding of software development process fundamentals
- Strong, self-motivated desire to learn new programming languages, tools, frameworks, and techniques
- Ability to complete tasking independently with minimal direct supervision
- Ability to work and collaborate effectively within a multi-disciplined engineering team
- Team players who can express and explain their ideas to others
- Previous internship
- Ability to obtain a Public Trust security clearance
- U.S. Citizenship is required
Benefits
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement