FlexHired LogoFlexHired

Monzo

Senior Data Science Manager, EU Expansion

Job Description

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

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

After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.

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 UK team about what it's like working at Monzo ✨


📍London | UK remote | 💰 £110,000 to £130,000 + Stock Options + Benefits

About our European Expansion Team:

Our Mission is to make money work for everyone, everywhere. As we scale the European Expansion organization, we’re looking for a Senior Data Science Manager to lead our data team and product strategy more holistically to get us to Europe.

You’ll be working in an ever changing environment in collaboration with the General Manager, Senior Engineering Manager and EU Leadership team. We’re looking for a leader with hands-on experience, data driven strategic leader who can bring fresh thinking and new ways to inspire the team and our customers, and drive business outcomes.

What you’ll be working on:

You’ll work closely with the product lead, engineering managers, designers and researchers in an agile product environment. You are expected to drive product strategy using data and also serve as a core member of the EU tech leadership team. 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 cloud native data platform, spotting opportunities to make each area of our product work even better for our users. You and your team will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

You will be a key leader in building a discipline of exceptional data scientists and analytics engineers working on getting Monzo to Europe, as well as having the opportunity to help your team’s career progression and development.

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 should apply if:

  • You have multiple years of experience in product data science, with 3 or more years working in Senior or Lead positions within Data Science or Analytics.
  • You have had experience managing high performing senior teams of 8-10 people
  • You consider yourself an empathetic leader and have experience managing data scientists and analytics engineers and you really enjoy that part of the job.
  • You are a strong strategic data leader and love to drive decisions
  • You are comfortable exploring potentially ambiguous business problems and enjoy using data to drive decisions
  • You have experience building a strategic understanding of the business while structuring complex projects to bring them to life
  • You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities
  • You have experience building relationships and working together and collaborating with senior business stakeholders and product teams
  • Experience with working with c-level peers
  • You know what it takes to lead top tier Data Science and Analytics Engineering talent talent
  • You're familiar with using a variety of Data Science tools (from business intelligence, experimentation and causal inference through to machine learning), and coding languages (Python and SQL). You know when to pick the right tool, and can help others do the same

The Interview Process:

Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!

  • 30 minute recruiter call
  • 45 minute call with hiring manager
  • 3 x 1-hour video calls with various team members

Our average process takes around 3-4 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 ahead of this please contact us on [email protected]

What’s in it for you:

💰 £110,000 to £130,000 + Stock Options + Benefits

✈️ 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.


#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 2024 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 😊

Interested in this job?

Applications are no longer being accepted for this job.

Logo of Monzo

Monzo

Organise, save & invest with a free UK current account, joint account or business account. Make your money more Monzo.

See more jobs
Date PostedMarch 18th, 2025
Job TypePart Time
LocationCardiff, London or Remote (UK)
SalaryCompetitive rates
Application DeadlineExpired
Exciting remote opportunity (requires residency in United Kingdom) for a Senior Data Science Manager, EU Expansion at Monzo. Offering competitive salary (part time). Explore more remote jobs on FlexHired!

Safe Remote Job Search Tips

Verify Employer Thoroughly

Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.

Never Pay to Get a Job

Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.

Safeguard Your Personal Information

Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.

Scrutinize Communication & Interviews

Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.

Beware of Unrealistic Offers

If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.

Insist on a Formal Contract

Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.

Related Jobs

Logo of Monzo
Cardiff, London or Remote (UK)
3 days ago
Logo of Monzo
Cardiff, London or Remote (UK)
3 days ago

Subscribe Newsletter

Never miss a remote job opportunity. Subscribe to our newsletter today and receive exclusive job alerts, career advice, and industry insights delivered straight to your inbox.