Peraton is seeking Summer 2026 Data Science Interns to support their Internal Research & Development (IRAD) program. The interns will work on exciting research projects in areas such as health, finance, defense, and cybersecurity, developing models that derive business value from data science.
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
- must be local to work location
- available to work the duration of the ten weeks (June to August)
- commit to working a minimum of 35-40 hours per week.
- 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.
