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Data Science Intern, Decisions Product - Toronto (Summer 2025)

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Lyft

Sep 14

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Science
    Data
  • Toronto

Requirements

  • Experience:
  • Pursuing B.S/M.S. in data science, computer science, economics, applied math, engineering, statistics or another quantitative field; or in a hard science field, such as physics, biology, biostatistics, etc.
  • Currently attending a university in Canada AND graduating between December 2025 and Summer 2026 (required)
  • Available during Summer 2025 for the internship in Toronto
  • Comfortable working with very large datasets
  • Experience analyzing data in Python or R; strong proficiency in SQL
  • Experimentation design and analysis of A/B tests
  • Effective communication skills; detail-oriented
  • Passion for community, sustainability, or transportation
  • Ability to thrive in a fast-paced environment

Responsibilities

  • Build and automate relevant models and reporting for important business processes
  • Perform deep-dives into our customer data to understand passenger and driver behavior
  • Develop strong hypotheses, create solutions, and uncover business insights to increase growth
  • Design and analyze experiments to increase engagement with the Lyft platform
  • Partner and develop strong relationships with diverse teams across product, marketing, and engineering

FAQs

What is the job title for this internship position at Lyft?

The job title is Data Science Intern, Decisions Product - Toronto (Summer 2025).

What are the main responsibilities of the Data Science Intern?

The main responsibilities include building and automating models and reporting, performing deep-dives into customer data, developing hypotheses and solutions for business insights, designing and analyzing experiments, and partnering with diverse teams across product, marketing, and engineering.

What is the duration of the internship?

The internship is for Summer 2025, which typically spans from May to August.

What educational qualifications are required for this internship?

Candidates should be pursuing a B.S or M.S in data science, computer science, economics, applied math, engineering, statistics, or another quantitative field, or in a hard science field such as physics, biology, or biostatistics.

When must candidates be graduating to be eligible for this internship?

Candidates must be graduating between December 2025 and Summer 2026 to be eligible for the internship.

Is there a specific location requirement for the internship?

Yes, candidates must currently attend a university in Canada and the internship will be based in Toronto.

What skill set is necessary for this position?

Candidates should be comfortable working with large datasets, have experience analyzing data in Python or R, possess strong proficiency in SQL, and have knowledge of experimentation design and A/B testing.

Are there any benefits offered to interns?

Yes, benefits include mental health support, 2 days paid time off, and 3 days sick time off in addition to holidays.

What type of workplace culture does Lyft promote?

Lyft promotes an open, inclusive, and diverse workplace culture where all team members are recognized for their contributions and where harassment of any kind is strictly prohibited.

What is the expected work schedule for this internship?

The role will be in-office on a hybrid schedule, with team members expected to work in the office 3 days per week on Mondays, Thursdays, and a team-specific third day.

Ride by ride, we’re reimagining the world’s best transportation.

Transportation
Industry
5001-10,000
Employees
2012
Founded Year

Mission & Purpose

Lyft was founded in 2012 by Logan Green and John Zimmer to improve people’s lives with the world’s best transportation, and is available to approximately 95 percent of the United States population as well as select cities in Canada. Lyft is committed to effecting positive change for our cities by offsetting carbon emissions from all rides, and by promoting transportation equity through shared rides, bikeshare systems, electric scooters, and public transit partnerships.

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