Data Science Intern, Decisions-Product

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.

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.

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

Experience:

• 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

Benefits:

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

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. Please contact your recruiter if you wish to make such a request.
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. Your recruiter can share more information about the various in-office perks Lyft offers.
#Hybrid
The expected base pay range for this position in the Toronto area is $42-46/hour CAD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.