Senior Data Scientist, Payments
We're looking for a Product Data Scientist excited to help us optimise payments for our users. Our payments teams allow users to save, spend safely and transfer their money to where they need it. They work on integrating with other banks, sending cards to users, processing card payments and building and maintaining our transfer infrastructure. They also run our savings marketplace which allows our users to pick a savings provider with terms and interest rates that suit them and manage their savings directly from their Monzo app. You’ll cover a large scope, helping us understand and improve the user experience and overall performance of our payments products.
At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over five million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.
Our Product Analytics team's mission is to:
Enable Monzo to Make Better Decisions, Faster
We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.
We work in a matrix structure, where you’ll be working day-to-day with the cross functional payments team (including designers, marketers, engineers, product managers etc.) but you’ll be part of our Product Data Team and reporting to a Data Science Manager so that you have the best of both worlds.
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. All of our infrastructure is designed so that we can have really high data quality, and spend most of our time using that data to support business decisions.
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.
London • Onsite