Datadog Applied Science Intern 2027 | Paris | 6 months
Apply by 25 Jan 2027
Key Facts
| Role | Applied Science Intern |
|---|---|
| Company | Datadog |
| Location(s) | Paris, France (hybrid) |
| Term | 6 months, start in February, March, April, May, or June 2027 |
| Pay | Not published on the posting; relocation support and travel benefits where applicable |
| Deadline | Rolling — apply early |
Overview
Datadog’s applied-science interns sit with engineers who put AI into the observability product. The project is production-shaped: pick a model approach, build a feature with generative or classical ML, and help deploy and monitor it on the data already flowing through Datadog.
The term is six months and the start window is only February through June 2027. Other start months are not accepted. The Paris office is hybrid, with an in-person intern cohort and relocation support when it applies.
Eligibility / Key Requirements
- Graduating in 2027 with a degree in Machine Learning, Artificial Intelligence, Statistics, Computer Science, or a related field
- You have built machine learning models in coursework, research, an internship, or a personal project
- Strong programming skills and clear explanations for both technical and non-technical partners
- Available for a full six-month internship beginning February, March, April, May, or June 2027
How to Apply
- Open the official application from EduBard’s Apply button.
- Create or sign in to your employer account.
- Submit your resume and any required materials before the window moves.
Compiled from the official posting; verify details on the employer site before applying.