Marguerite Graveleau - Technical Product Manager at Iwoca | Ex Data Scientist at Lyft #18
Our guest today is Marguerite Graveleau, Technical Product Manager at Iwoca; a Fintech company lending money to small and medium businesses; and Ex Data Scientist at Lyft, one of the main competitors of Uber.
In our conversation, Marguerite first explains how she got into the field. We talk about her Master at Stanford and give advice on how to get a first job after university. We discuss the importance of cold emails and building a portfolio of Data Science projects.
We then explore Data Science at Lyft where Marguerite explains how she used data and econometric models to maintain a market equilibrium between the demand for rides and the number of available drivers.
We finally talk about strategy and AI at Iwoca. We dive into the importance of monitoring, talk about A/B testing but also discuss what it feels like to work in a fast paced credit risk company.
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Follow Marguerite on LinkedIn: https://www.linkedin.com/in/margueritegraveleau/
Follow Neil on LinkedIn: https://www.linkedin.com/in/leiserneil/
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(00:00) : Intro(02:40) : How did you get into the field ?
(06:03) : How to get your first job ?
(12:29) : Data Science at Lyft.
(23:56) : Doing an MBA.
(29:09) : What is Iwoca ?
(32:22) : Operation Strategy at Iwoca.
(37:54) : The importance of monitoring.
(40:50) : Challenges of working in a credit risk company.
(44:56) : A / B tests.
(49:10) : Trying multiple different jobs.
(54:16) : What is a good Data Scientist ?
(58:36) : One advice to progress in your career.
AI Stories
Artificial Intelligence, Machine Learning, Data Science and Deep Learning are completely changing the world we live in today. Companies around the world start to make sensible use of big data to influence business decisions and create our future. From video recommendations to autonomous driving, from stock prediction to weather forecasting, the AI revolution is everywhere. The AI stories podcast brings together some of the best Data Scientists, Machine Learning Engineers, Business leaders and researchers that are at the front of this revolution. They are here to talk about their career, how they arrive where they are, give advice and share their vision. They explain how they make use of AI in their daily routine, how they use algorithms to solve business problems and make the world a better place. They are here to share their stories: their AI stories. Hosted by Neil Leiser, Data Scientist at Iwoca. Follow Neil to learn more about career, Data Science, AI and Machine Learning. Linkedin: https://www.linkedin.com/in/leiserneil/ Twitter: https://twitter.com/LeiserNeil
- No. of episodes: 60
- Latest episode: 2025-04-24
- Business Technology Careers
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