Data Analytics Summer Intern

Leidos•Bethesda, MD

1d•Onsite

About The Position

The Health Sector at Leidos currently has an opening for a Data Analytics Summer Intern – Entry Level to work in our Bethesda, Maryland office. This is an exciting opportunity to use your experience supporting the NIH / CSR mission by developing innovative data-driven and AI-powered solutions. In this mission, you will contribute to building scalable cloud-based platforms, intelligent automation tools, and machine learning models that enhance scientific review processes, improve operational efficiency, and enable advanced data analysis across large and complex datasets.

Requirements

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.

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