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.