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

HipHopTune Media
London
2 days ago
Create job alert

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

Related Jobs

View all jobs

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

Senior Data Scientist

SENIOR DATA SCIENTIST - Computer Vision / Generative AI HYBRID

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

Senior Data Scientist

Senior Data Scientist

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.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.