Summer 2027 Data Science Intern

Peraton is seeking Summer 2027 Data Science Interns in support of our Internal Research & Development (IRAD) program which will be conducted in one of our Strategic Innovation Centers in Herndon, VA or Blacksburg, VA offices.

Join one of our Strategic Innovation Centers and support exciting, advanced research projects in areas such as communications, space, cybersecurity, defense, public safety, and health.

You’ll have the opportunity to work in a collaborative, supportive environment with our full-time staff, allowing you to grow your skills and your career while building experience in a variety of different projects and domains.

You’ll work in an Agile development environment to identify requirements, data, and key insights needed for developing models that derive business value from data science.

You’ll develop code to clean data, develop complex feature sets, and build models using industry leading technologies and frameworks.

And you’ll deploy those models into production environments using techniques that continuously evaluate model quality.

We ask that each intern be available to work the duration of the ten weeks (June to August) and commit to working a minimum of 35-40 hours per week.

This program is geared toward technical college students, actively enrolled at a four-year university, who will be rising into their junior or senior years.

However, strong underclassmen may be considered if they have declared their major and have completed qualified coursework.

#PeratonIntern

• U.S. Citizenship.
• HS Diploma and some advanced level training.
• Have completed progress towards a bachelor’s degree in data science, data analytics, computer science, computer engineering, or a related field.
• Foundational experience in data science technologies such as Python, R, Spark, and SQL.
• Foundational experience in cleansing and processing data to build features for model development.
• Hands on experience through coursework and/or prior internships working with data science frameworks such as Tensorflow, Sci-kit learn, Numpy, PyTorch, Matplotlib, Shap, and/or similar tools.