Data Science Intern, Lyft
Decisions-Product, Summer 2026
The expected base pay range for this position in the Toronto area is $42-46/hour CAD
More information about location
3+ days a week in office
Ride sharing company
Be an early applicant
Ride sharing company
1001+ employees
Be an early applicant
The expected base pay range for this position in the Toronto area is $42-46/hour CAD
More information about location
3+ days a week in office
1001+ employees
Company mission
To improve people’s lives with the world’s best transportation.
Role
Who you are
- Pursuing a Bachelor's or Master's degree 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 (required) AND graduating between December 2026 and Summer 2027 (required). For any candidates who are master's students who worked between their bachelor's and master's programs: candidates should also have less than 2 years of relevant full-time work experience
- Available during Summer 2026 for the internship in Toronto
- Experience in and 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
What the job involves
- Data is at the heart of how Lyft makes business and product decisions
- As a data science team, we work collaboratively with partners across product, engineering, operations and growth to develop business insights and make actionable recommendations
- We’re looking for passionate data scientists to take on some of the most interesting and impactful problems in ridesharing
- You’ll work in an environment where we embrace moving quickly to build the world’s best transportation
- Data Scientists pursue a variety of problems ranging from understanding our passengers and drivers, to ensuring we have an efficient marketplace, to optimizing how we run our marketing and growth incentives
- You’ll dig into the data to uncover insights, design experiments and measure the impact, and help influence decision-making across the entire organization
- As a Data Science Intern on the Decisions: Product track, you will focus on Data Science for humans
- Your output shapes decisions made by executives, product managers, operations and business teams, and beyond
- This role relies upon an ability to apply decision frameworks and a deep understanding of the business and product to drive alignment on problems and solutions
- You will report into a Science Manager
- 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
Our take
Lyft has aimed for consistent growth, making sure to pitch itself as a more reliable and friendly ride-sharing option than its main competitor, Uber. Uber has a greater market share and operates globally, but Lyft hopes to compete by its focus on ride-sharing over Uber's more diversified business approach and as a more rider-friendly and greener alternative to Uber.
Operating only in the USA and Canada, Lyft is in a position of being less affected by global events than Uber but also more vulnerable to local conditions. As an example, while it doesn't face the regulatory hurdles around employment rights that Uber does, it is unable to balance out the cost of the unusually expensive US auto insurance across its operations.
In 2022, Lyft acquired PBSC Urban Solutions, a bike-share equipment and technology supplier, allowing Lyft to compete in new verticals and reaffirming its commitment to green transportation. It has also trialed and launched Lyft Assisted, where drivers help passengers from their door into the car to get to medical appointments. These developments chime well with Lyft's unique selling point as a friendlier and more environmentally aware ride-sharing app.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 14 rounds)
Jun 2018
$600m
LATE VC
Mar 2018
$200m
LATE VC
Total funding: $4.9bn
Company benefits
- Great medical, dental, and vision insurance options
- Mental health benefits
- In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
- 401(k) plan to help save for your future
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
- Pre-tax commuter benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
- Family building benefits
- Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Company HQ
China Basin, San Francisco, CA
Leadership
John Zimmer
(Co-Founder)Originally an Analyst at Lehman Brothers, Zimmer then founded Zimride which was a private ridesharing company that pivoted into Lyft.
Logan Green
(Co-Founder)Founded Zimride, a private ridesharing company which later pivoted into Lyft.
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