Help build the bank of the future with Monzo by supercharging user engagement and making banking magically simple.
Overview
£0
Barcelona, Spain
Organisation summary Challenger, online only, bank dedicated to simplifying the world of money.
Role Summary
- Play a key role by leading the data strategy and continuing to evolve Monzo for customers.
- Make it magically simple to manage money day-to-day.
- Develop and execute best practices for experimentation.
- Collaboratively set standards and work with data across Monzo.
- Foster knowledge sharing and continuously improve data practices.
- Work closely with leaders in product, engineering, design, and research to build and iterate on product ideas.
Role Requirements
- Excited to help build the bank of the future.
We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2025 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 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. 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. You'll play a key role by leading the data strategy and continuing to evolve Monzo for our customers to make it magically simple to manage money day-to-day, develop and execute best practices for experimentation enabling our team to make data informed decisions, collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas.