Java Programming, Design, Python Programming, Database, SQL, DevOps, Machine learning techniques, Data science techniques, A/B Testing, Google BigQuery, Jupyter Notebook, Looker, Natural Language Processing (NLP), Data Analytics, Data Analysis
This mission encompasses three major areas of work: (1) product analytics, to help teams understand our customers and improve our app (2) domain analytics, to support teams who are working in specific banking disciplines (e.g., lending, finance, and financial crime), and (3) machine learning, where we design and build system that automate decisions across Monzo. While we take a flexible approach and frequently help each other across these areas, we each have one domain that is our primary focus.
For this role, we are looking for a Data Scientist who will focus on machine learning. The machine learning team partners with squads across all of Monzo to design, build, and experiment with machine learning systems that help them achieve their goals. For example, see our recent work with related articles in the app help screen, and the approach we took when building the help screen's search algorithm. This team is currently five Data Scientists and one backend Engineer - you can read about the shape of our team in 2020 here.
The role
You’ll be joining the team to focus on production machine learning, working with many squads across Monzo to design, build, analyse, and experiment with machine learning systems that make use of the data we gather.
We organise our machine learning projects into three distinct phases; you'll spend your time doing all three:
What’s special about data & machine learning at Monzo?
Autonomy. We believe that people reach their full potential when you can remove all the operational obstacles out of their way and let them run with their ideas. This comes together with a strong sense of ownership for your projects. At Monzo, you will get full access to our data and analytics infrastructure. When you discover something interesting, there is nothing stopping you from exploring and implementing your coolest ideas.
Cutting-edge managed infrastructure. All our data infrastructure lives on the Google Cloud Platform, so you don't need to spend your time configuring or managing clusters, databases, etc. If you want to train a Machine Learning model faster, just submit your training job to the Google AI Platform, no DevOps skills required.
Automation. We aim to automate as much as we can, so that every person in the team can focus on the things that humans do best. As with all data science work, there’s some analysis and reporting, and as much as possible we encourage self-serve access to our data through Looker.
You should apply if:
Logistics
Monzo Bank Ltd, is an online bank based in the United Kingdom. Monzo was one of the earliest of a number of new app-based challenger banks in the UK.