C
New York, New York, United States
PythonSQLMachine LearningAI
L
Salary not disclosed
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Role overview
Job description
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. At Lyft, actuaries are more than risk modelers, they are trusted business advisors, with a key voice in our most important decisions. We partner with many groups across the organization to work on core products. Get ready to deploy your actuarial skills in innovative ways and team up with Engineering, Data Science, Operations, Finance, Legal, and Public Policy to solve complex pricing challenges. Our insurance solutions are evolving and the team is growing. We can’t wait to meet you! Responsibilities: Assist in developing robust ETL pipelines and maintaining complete and accurate actuarial data for analysis. Design and build data monitoring dashboards to drive data insights Collaborate with cross-functional teams on model
…About this listing
- Source: Lyft's official careers site (via Greenhouse) · last confirmed on the source 3 Nov 2026
- Posted 2 Nov 2026
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What they are looking for
Skills & requirements
Qualification
All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law; We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law
Department · Risk Solutions
Hiring company
Lyft
Technology
Wherever you’re headed, count on Lyft for rides in minutes. The Lyft app matches you with local drivers at the tap of a button. Just request and go. Ride by ride, we’re changing the way our world works. We imagine a world where cities feel small again. Where transportation and tech bring people together, instead of apart. We see the future as community-driven — and it starts with you.
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