Data science

16 Aug 21

ML Model Monitoring – 9 Tips From the Trenches

Machine learning (ML) models are very sensitive pieces of software; their successful use needs careful monitoring to make sure they are working correctly.

15 Jul 21

Scaling data analytics with software engineering best practices

Analytical work can greatly benefit from software engineering standards in terms of quality and efficiency, here's how.

16 Jun 21

Beyond prediction machines

A huge part of Nubank’s Data Science team has been recently focusing on leveraging causal inference along with traditional machine learning to solve some of our toughest problems. This post aims at explaining why causal inference is such a powerful tool to solve business problems with data.

04 Sep 20

Now Nubank’s Data Scientists have their own values

It is not just a matter of collecting, analysing and interpreting data. Check out the six principles that build our data scientists’ code.

19 Dec 19

Hiring for Data Science to achieve smart efficiency

Here’s everything you need to know about the role that DS plays at Nubank and how to join our team

04 Dec 19

Introducing fklearn: Nubank’s machine learning library (Part II)

Benefits from doing analysis and validation of models

23 Apr 19

Introducing fklearn: Nubank’s machine learning library (Part I)

In April 2019, Nubank open-sourced fklearn, our machine learning python library. And it has a a benevolent sweet good poison!