At a Glance
- Tasks: Lead data strategy and evolve Monzo for seamless money management.
- Company: Join Monzo, a fast-growing bank with over 11 million happy customers.
- Benefits: Competitive salary, performance incentives, flexible hours, and a £1,000 learning budget.
- Other info: Dynamic team environment with opportunities for career growth and relocation support.
- Why this job: Shape the future of banking and make a real impact on user engagement.
- Qualifications: Experience in data science, strategic thinking, and mentoring skills.
The predicted salary is between 95000 - 130000 € per year.
📍London or Barcelona | UK remote | 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits
About our Data Science Teams: We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to supercharge our user engagement in 2026 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.
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.
How we hire: We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future!
What you’ll be working on:
- Lead the data strategy and continue 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
You should apply if:
- You enjoy working with cross functional fast moving teams
- You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers
- You are excited about mentoring other data scientists and analytics engineers
- You are excited by experimentation and utilising new data techniques to solve challenging problems
- You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features
- You are opinionated about how to think about measuring success and are willing to challenge the status quo
The interview process: Our interview process involves:
- Recruiter Call
- Initial Call
- Technical assessment
- Final Interviews
- Business Fit/Collaboration Case Study
- Technical Interview
Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo.
What’s in it for you:
- 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits
- ✈️ We can help you relocate to the UK or Spain
- ✅ We can sponsor visas
- 📍This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London).
- ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- 📚Learning budget of £1,000 a year for books, training courses and conferences
- ➕And much more, see our full list of benefits here
- If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Lead Data Scientist employer: Referrals Only
At Monzo, we pride ourselves on being an exceptional employer, offering a dynamic work culture that champions data-driven decision making and innovation. With competitive salaries, performance-based incentives, and a generous learning budget, we empower our Lead Data Scientists to thrive in their roles while enjoying flexible working hours and the option for remote work. Join us in London or Barcelona and be part of a rapidly growing team dedicated to building a bank that customers love, where your contributions will directly shape the future of banking.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Monzo on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give us a leg up!
✨Tip Number 2
Prepare for those technical assessments! Brush up on your data science skills and be ready to showcase your problem-solving abilities. We want to demonstrate how we can tackle real-world challenges using data.
✨Tip Number 3
Show off our passion for collaboration! During interviews, highlight our experience working with cross-functional teams. Monzo values teamwork, so let’s make sure we convey how well we can work with others.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, it shows we’re serious about joining the Monzo family and contributing to building the bank of the future.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with data-driven decision making and any relevant projects that showcase your skills in experimentation and collaboration.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your excitement about building a bank that customers love and how your strategic thinking can unlock value for them. Keep it engaging and personal.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Mention specific data techniques and tools you’ve used, especially those related to analytics and experimentation. This will show us you’re ready to tackle the challenges at Monzo.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Referrals Only
✨Know Your Data Inside Out
As a Lead Data Scientist, you’ll need to demonstrate a deep understanding of data strategies and analytics. Brush up on the latest data techniques and be ready to discuss how you've used them in past projects. Show them you can think strategically about commercial products and how data can unlock value.
✨Prepare for Technical Assessments
Expect a technical assessment as part of the interview process. Review key concepts in data science, machine learning, and statistical analysis. Practise coding challenges and be prepared to explain your thought process clearly. This is your chance to shine, so make sure you’re ready!
✨Showcase Your Collaboration Skills
Monzo values cross-functional teamwork, so be prepared to discuss how you’ve worked with product, engineering, and design teams in the past. Share examples of how you’ve fostered knowledge sharing and improved data practices within a team. They want to see that you can lead and mentor others too!
✨Be Ready to Challenge the Status Quo
Monzo is looking for someone who isn’t afraid to question existing processes and suggest improvements. Think about times when you’ve challenged conventional thinking in your previous roles. Be prepared to discuss your opinions on measuring success and how you would approach experimentation in their environment.
