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.

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

• 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