About the role#
The Data Science team builds mathematical models that support our core services. We tackle problems across optimization, prediction, modeling, inference, and transportation. You will report to a Science Manager and work on one of three focus areas: optimization, machine learning, or inference. This role is a full-time, paid internship for Summer 2027.
What you'll do#
- Partner with Engineers and Product Managers to define problems mathematically and within a business context.
- Perform exploratory data analysis to understand problems.
- Write production modeling code and work with software engineers to implement algorithms.
- Design and run simulated and live traffic experiments.
- Analyze experimental and observational data to help make launch decisions.
- Communicate your findings to partner teams.
What you'll need#
- Currently pursuing a Masters or PhD at a university in Canada in Computer Science, Statistics, Electrical Engineering, Economics, or a related field.
- Graduation date between December 2027 and June 2028.
- Ability to work in Toronto during Summer 2027.
- Proficiency in Python, with experience in SQL or R.
- Familiarity with data science and ML libraries such as NumPy, Scikit-learn, PyTorch, TensorFlow, Keras, SpaCy, or NLTK.
- Expertise in at least one of these areas: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling.
- Experience in experimental design and exploratory data analysis.
- Knowledge of marketplace design, ridesharing, or transportation is a plus.
Location & details#
- This is a hybrid role based in Toronto, Canada.
- You are expected to work in the office at least 3 days per week, specifically on Mondays, Wednesdays, and Thursdays.
- The base pay range is CAD $45 to CAD $48 per hour.
- Benefits include mental health support, 2 days of paid time off, 3 days of sick time, and subsidized commuter benefits with Lyft ride credits.
About Lyft
Lyft operates in the ground passenger transportation industry. Founded in 2012, the company provides rideshare, bike, and scooter services through a single mobile application. It is based in San Francisco and employs between 5,001 and 10,000 people. The organization functions as a public company.
How to get in at Lyft
Securing an internship at Lyft often depends on timing, as early applicants are frequently reviewed before the volume of candidates becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, helping you apply among the first. This approach ensures your application reaches the team while they are still actively building their candidate pool. You can improve your response rate by reaching out to the recruiters behind these roles directly to ask about the position or a referral. Intern Insider surfaces these specific contacts, allowing you to bypass the standard queue and connect with the people actually managing the hiring process.
