Lyft Data Science Intern Algorithms Summer 2027 Toronto
Apply by 29 Dec 2026
Key Facts
| Role | Data Science Intern, Algorithms (Summer 2027 - Toronto) |
|---|---|
| Company | Lyft |
| Location(s) | Toronto, Canada |
| Term | Summer 2027 |
| Deadline | Rolling — no firm deadline listed (apply early) |
| Pay / stipend | CAD $45–48 per hour (Toronto base range) |
Overview
Lyft’s data science team builds the models behind core marketplace services: optimization, prediction, inference, transportation, and mapping. The Summer 2027 Toronto algorithms track is for master’s or PhD students who want to fit those models to real decisions in the app.
The posted Toronto base range is CAD $45–48 per hour. Python is required; SQL, R, NumPy, scikit-learn, PyTorch, and TensorFlow are in the stack they name.
Eligibility / Key Requirements
- Master’s or PhD student
- Python required
- Interest in optimization, prediction, or modeling
- Comfort with experimental design and exploratory analysis
- Available Summer 2027 in Toronto
How to Apply
- Open the official application from EduBard’s Apply button for this role.
- Create or sign in to your employer careers account.
- Submit your resume and any required materials before the deadline.
Compiled from the official posting; verify details on the employer site before applying.
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