Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Manager, Operations

Monzo Bank Limited
London
1 day ago
Create job alert

In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently.
You'll play a key role by...
You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data, bring ideas to life through a rigorous analytical approach. Your work will focus on improving our efforts in customer demand insights & help assistance.
You'll help your team grow, hiring new team members, supporting their personal development. You will manage a team with Data Scientists and Data Analysts, working together with Analytics Engineers to drive product innovation and you'll get to see the impact of all your work in the product changes we make.
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. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data folk the head space to focus on more impactful business questions and analyses.
Your day-to-day:

Be a key leader in building a discipline of exceptional data scientists and analysts working on making Monzo world class at detecting and fighting financial crime activity
Help hire, develop and retain talented Data people
Generate insights that can change the direction of our customer operations strategy
Bring data leadership and rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
Liaise with product and engineering managers to make sure we collect the right data to produce relevant business insights, 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
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
#LI-LG1 #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, 2024 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

You must have at least 4 years of experience as a Data Science Manager
You are a strong strategic data leader and love to drive decisions
Strong experience with working with executive or C-level peers, managing stakeholders across levels of seniorities and disciplines
You're excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
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
You know how to build confidence with senior leaders across the business
You have strong product knowledge and have built data products previously
You have experience working with teams that build ML models and you understand how to build the right data set for ML models

Cardiff, London or Remote (UK)

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 | Hear from the team
About our Operations Team:
Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Manager, Operations

Data Science Manager, Operations

Data Science Manager, Operations New Cardiff, London or Remote (UK)

Data Science Manager

Data Science Manager

Data Science Manager London, England, United Kingdom

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.