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Senior Data Scientist, Growth

Monzo
Remote
United Kingdom, United Kingdom

🚀 We’re on a mission to make money work for everyone.


We’re waving goodbye to the complicated and confusing ways of traditional banking. 


With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!


We’re not about selling products - we want to solve problems and change lives through Monzo ❤️


Hear from our team about what it's like working at Monzo ✨



 

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


About us: 


We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.


We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.


We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.


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 10 million customers in the UK, with over 200,000 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’ll work closely with product and engineering managers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of native data in our cloud platform, spotting opportunities to make our product work even better for our users. Through your product squad, you will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.


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 our Product 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 3-4 years of experience in conducting large scale A/B experiments, preferably as part of broader product 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 ÂŁ1,000 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.


 


#LI-NB2 #LI-Remote


Equal opportunities for everyone


Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.


We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.


If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊