Senior Data Scientist – Cardiff, London, or Remote (UK) | Visa Sponsorship Available | Monzo

HipHopTune Media
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist (Knowledge Graph)

Data Scientist

Senior Manager - Clara Data Science

Senior Data Scientist - Consumer Behaviour – exciting ‘scale up’ proposition

Senior Data Scientist – Machine Learning -  Defence – Eligible for SC

Senior Data Scientist

Senior Data Scientist – Cardiff, London, or Remote (UK) | Visa Sponsorship Available | Monzo

Monzo is looking for a passionate and commercially minded Senior Data Scientist to join their dynamic team, based in Cardiff, London, or fully remote across the UK. This is an exciting opportunity for a data professional who is impact-driven, motivated to make a real positive difference across the company, product, users, and team culture.

The ideal candidate will have a strong ability to translate complex data into business insights, helping to drive strategic decision-making and growth. With a keen commercial awareness, the Senior Data Scientist will put numbers into clear business perspective, influencing product development and company success.

Visa sponsorship is available, making this an excellent role for highly skilled candidates who are currently in the UK and looking to join a forward-thinking, innovative environment. If you are eager to apply your expertise in a company that values collaboration, user-centric design, and data-driven innovation, apply now to build your future with Monzo.

About Monzo

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

Position:Senior Data Analyst

Job Type:Full Time

Location:Cardiff, London, or Remote (UK)

About the Role:

About our Data Science Team:

We’re looking for a Senior Product Data Scientist excited to help build the bank of the future. You’ll have the opportunity to super charge our user engagement in 2025 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

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into 1 product squad alongside engineers, designers, marketers, product managers etc.

Responsibilities

  • Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
  • Guide and enable 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 product features are impacting user profitability
  • Liaise with engineers to keep making sure we collect the right data to produce relevant business insights

Role Requirements:

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 and preferably Python
  • You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages:

  • Initial Call
  • Technical Interview
  • Final Interview 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

What’s in it for you:

  • £80,000 to £95,000 + 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.

Required Documents

  • CV/Resume

Application Process

Interested and qualified individuals should visitHEREto apply

J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.