Summer 2027 Data Science Intern

Peraton•Herndon, VA

4d•$25•Hybrid

About The Position

Peraton is seeking Summer 2027 Data Science Interns to support our Internal Research & Development (IRAD) program. This internship will be conducted in one of our Strategic Innovation Centers located in Herndon, VA or Blacksburg, VA. Interns will join our Strategic Innovation Centers and support advanced research projects in areas such as communications, space, cybersecurity, defense, public safety, and health. The role offers a collaborative and supportive environment with full-time staff, providing opportunities for skill and career growth, and experience in various projects and domains. Interns will work in an Agile development environment to identify requirements, data, and key insights for developing models that derive business value from data science. Responsibilities include developing code to clean data, build complex feature sets, and construct models using industry-leading technologies and frameworks. Additionally, interns will deploy models into production environments using techniques for continuous model quality evaluation. The program requires interns to be available for the full ten weeks (June to August) and commit to a minimum of 35-40 hours per week. This program is designed for technical college students actively enrolled at a four-year university, who will be entering their junior or senior years. However, strong underclassmen with a declared major and completed qualified coursework may be considered.

Requirements

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.
Strong analytical and problem-solving skills.
Ability to quickly adapt and learn new technologies and concepts.
Self-motivated, independent, detail-oriented, responsible team-player.
Strong written and oral communication skills.

Nice To Haves

3.0 and above GPA.
Exposure to Agile development processes and tools.
Familiarity developing ETL and data quality pipelines that process vast amounts of data.
Prior experience with distributed compute architectures such as Spark, Kubernetes, or Docker containers.
Ability to describe complex, technical problems to business stakeholders in a non-technical way.
Ability to self-manage day to day tasks independently and communicate collaboratively with leadership and other development teams.

Responsibilities

Support advanced research projects in areas such as communications, space, cybersecurity, defense, public safety, and health.
Work in a collaborative, supportive environment with full-time staff.
Work in an Agile development environment to identify requirements, data, and key insights needed for developing models that derive business value from data science.
Develop code to clean data, develop complex feature sets, and build models using industry leading technologies and frameworks.
Deploy models into production environments using techniques that continuously evaluate model quality.