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Data Science Intern

Peraton

From $25
Sep 7, 2025
Blacksburg, VA, USA • Reston, VA, USA • West Lafayette, IN, USA
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Peraton is seeking Summer 2026 Data Science Interns to support their Internal Research & Development (IRAD) program, aiming to develop models that derive business value from data science across various domains like health, finance, defense, and cybersecurity.

Requirements

  • 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.
  • 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.

Responsibilities

  • 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 those models into production environments using techniques that continuously evaluate model quality.

Other

  • Summer 2026 Data Science Interns
  • available to work the duration of the ten weeks (June to August) and commit to working a minimum of 35-40 hours per week.
  • technical college students, actively enrolled at a four-year university, who will be rising into their junior or senior years.
  • 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.
  • 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.
  • U.S. Citizenship.