Data Science Intern, Algorithms (Summer 2027 - Toronto) at Lyft

Lyft; Toronto; Hybrid; CAD 62,000 - 66,000; Full time

Benefits offered by this job

Mental health benefits

2 days paid time off + 3 days sick

Subsidized commuter benefits and Lyft

Job summary

Lyft seeks a Data Science Intern in Algorithms for Summer 2027 in Toronto, joining the Data Science Team on a hybrid, in-office schedule. The role involves solving mathematical problems with data across optimization, ML, and inference, reporting to a Science Manager and collaborating with engineers and product managers.

Candidates should be pursuing a Masters or PhD in relevant fields with a Summer 2027 availability, strong Python/SQL/R skills, and experience with major ML libraries.

Qualifications

• Masters or PhD candidate in a relevant field with a 2027–2028 graduation window
• Available Summer 2027 for internship in Toronto
• Proficient in Python (required) or SQL, R; familiar with standard DS libraries
• Experience with ML libraries: NumPy, Scikit-learn, PyTorch, TensorFlow, Keras
• Design of experiments and exploratory data analysis
• Expertise in optimization or ML modeling
• Bonus: marketplace design, ridesharing or two-sided marketplaces

Responsibilities

• Partner with engineers, product managers, and cross-functional teams to frame problems mathematically and business-wise
• Conduct exploratory data analysis to deepen problem understanding
• Write production modeling code and collaborate with engineers to deploy algorithms
• Design and run simulated and live traffic experiments
• Analyze experimental and observational data and communicate findings to partners and stakeholders

Skills

Python

SQL

R

NumPy

Scikit-learn

TensorFlow

PyTorch

Keras

EDA

Experimental design

Optimization

Machine learning

Statistics

Education

Masters or PhD in a related field

Tools

NumPy

SpaCy

NLTK

Scikit-learn

TensorFlow

Keras

Job description

Data Science Intern, Algorithms (Summer 2027 - Toronto) at Lyft in Toronto, ON, CA

This Full time on site position offers great opportunities for career growth. At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment.

We are hiring for a variety of Data Science interns, focusing on the following specialties:

• Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app.
• Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
• Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems.

You will report into a Science Manager.

• Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Write production modeling code; collaborate with software engineers to implement algorithms in production
• Design and run both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions

Experience:

• Currently pursuing a Masters or PhD degree at a university in Canada (required) in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; AND with a graduation date between December 2027 and June 2028 (required)
• Available during Summer 2027 for an internship in Toronto
• Experience coding in Python (required) or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
• Experimental design and analysis
• Exploratory data analysis
• Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
• Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation

Benefits:

• Mental health benefits
• In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy.

Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture.

This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role.

The expected base pay range for this position in the Toronto area is CAD $45 - CAD $48 per hour. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This is a new position.