Summer 2027 Data Science Intern

What you'll do

• Frame stakeholder questions, source and analyze data, and build and validate forecasting, classification, anomaly-detection, and decision-analysis models.
• Engineer features, extend the NOS ontology and data model, and build data pipelines.
• Create decision-support metrics, dashboards, and analyses, and communicate findings to operators, engineers, and executives.

What they ask for

• Currently pursuing a BS or MS in Data Science, Statistics, Computer Science, Applied Math, or a related quantitative field; expected graduation December 2027–June 2028 and returning to school after the internship.
• Strong Python and data stack (pandas, NumPy, scikit-learn), with working knowledge of SQL.
• Foundation in statistics and probability, plus completed data analysis experience (course, personal, research, or prior internship).
• U.S. Person status (U.S. citizen or lawful permanent resident); able to work on-site in Washington DC five days a week for the full 12-week program.

Nice to have

• Data visualization and dashboarding; exposure to cloud data warehouses.
• Forecasting, time-series, or experimental design; coursework or project experience with Palantir Foundry or AWS.

Pay

$25.00 an hour (base rate); $2,000 monthly housing stipend

Tools

Python, pandas, NumPy, scikit-learn, SQL, Palantir Foundry, AWS GovCloud, AWS

AI focus

Use AI as part of the work to improve workflows, decision-making, and processes; the role focuses on applied data science for nuclear construction, not explicitly on building AI systems.