Spring 2027 Data Science Intern
The Nuclear CompanyWashington, DC
Internship
Posted August 7, 2026
$25 - $25/hr
Nuclear Energy
Visa Sponsored
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Application opens on company website
Listing evidence and provenance
- Source
- Greenhouse View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Nuclear Energy
- Pay provenance
- Employer-provided pay
Job Description
The estimated starting rate for this role is $25.00 an hour plus a $2,000 monthly housing stipend less applicable withholdings and deductions, paid on a bi-weekly basis.
Key Responsibilities
- The United States is building nuclear power again, and The Nuclear Company is writing the software that makes it possible. NOS, the Nuclear Operating System, runs the regulatory, supply chain, cost, schedule, and field work behind real reactor construction. The work matters for national security, energy independence, and the climate.
- You will turn data into decisions that move a nuclear build forward. As a Data Science Intern, you do the full applied data science job on NOS: frame the question, wrangle the data, build and validate models, and put the answer in front of the people who act on it. You will work on forecasting and decision analysis for megaproject cost and schedule, extend the NOS ontology and data model, and build the analyses and dashboards leaders use to make real calls. You work next to full-time data scientists and ship work that reaches production.
- This is a six-month co-op available in Spring 2027 (January to June), aligned to the academic calendar. Base location is Washington DC, on-site five days a week, with full housing and relocation for co-ops outside the DC metro area.
- Frame business and engineering questions with stakeholders, then source, clean, and explore the data needed to answer them.
- Build and validate models (forecasting, classification, anomaly detection, decision analysis) for megaproject cost, schedule, and risk.
- Engineer features and extend the NOS ontology and data model across regulatory, supply chain, cost, and schedule domains.
- Build data pipelines across Palantir Foundry, AWS GovCloud, and more.
- Design metrics, dashboards, and analyses that operators, engineers, and executives use to make decisions, and communicate findings clearly.
Requirements
- Data visualization and dashboarding; exposure to cloud data warehouses.
- Forecasting, time-series, or experimental design.
- Coursework or project experience with Palantir Foundry or AWS.
- Interest in energy, national security, industrial software, or regulated industries.
- Familiarity with nuclear engineering concepts (not required, we teach the domain).
Benefits & Perks
- Competitive compensation packages
- 401k with company match
- Medical, dental, vision plans
- Generous vacation policy, plus holidays
Ready to Apply?
Apply directly on The Nuclear Company's site
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