📍London | UK remote | Benefits | Hear from the team

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2024 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 9 million customers in the UK, with over 100,000 new people joining every month. 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.

What you’ll be working on

You will work together with other data scientists, analysts and analytics engineers as well as CRM managers and various product teams on powering our CRM function. Our ambition is to send the right message at the right time to the right customer to delight our users with relevant and helpful communications from Monzo.

Your day-to-day

• Applying your expertise in analytics, data science, and the data storytelling to see beyond the numbers and understand how our users interact with our products and communications and how those insights can inform our communication strategy
• Guide and enable CRM teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different communication approaches are impacting user activation, engagement and profitability
• Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

You should apply if:

What we’re doing here at Monzo excites you!

• You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You're commercially minded and can put numbers into business perspective
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on
• You have solid grounding in SQL, Looker, and preferably Python
• You have experience in conducting large scale A/B experiments, preferably in other CRM teams or engagement-driving teams.
• You have excellent presentation and communication skills and get excited to turn data into stories accessible for stakeholders.

The Interview Process:

Our interview process involves three main stages:

1. Chat with a recruiter
2. Initial Call with the Hiring Manager
3. A take home task
4. Final interviews including a case study and collaboration 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 but if you

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com

What’s in it for you:

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be based in our London office, but we're 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.