National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist - Payments

Cleo AI
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Lending

Senior Data Scientist

Senior Data Scientist

Improving our current machine learning models and deploying into production Actively building and productionising classifiers - no dependencies on engineering teams Collaborating with various departments within the organisation, including product, operations, and commercial, to leverage machine learning and analytics in order to uncover opportunities for optimization Carrying out deep analysis into the core aspects of how Cleo runs to be able to fully understand the levers and propose opportunities to improve Working closely with engineers to make sure we collect the right data to produce relevant business insights

About you

At least 5 years of experience in data science, ML engineering or related roles Ability to write production quality code in Python and SQL Experience deploying machine learning models into production Track record in payments, pricing, or other business process optimisation problems Comfortable with complexity & developing a holistic understanding of a system in order to propose & build solutions A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner

Nice to have

Experience with the US payments ecosystem Experience with containers and container orchestration: Kubernetes, Docker, and/or Mesos, including lifecycle management of containers

What do you get for all your hard work?

Salary banding can be seen here. You'll also have equity options.You can view our progression framework and salary bandings here: https://cleo-ai.progressionapp.com/ - This role would be from level DS4 depending on experience  Work at one of the fastest growing tech startups, backed by top VC firms, Balderton & EQT Ventures.Cleo is a culture of stepping up.We want, and expect you to grow and develop. That means trying new things, leading others, challenging the status quo and owning your impact. You’ll have our support in everything you do. But more importantly, you’ll have our trust.We treat you as humans first, employees second.Because we can’t fight for the world’s financial health, if we’re not healthy ourselves. This means the usual perks but it also means flexibility. Other benefits include;  25 days Annual leave a year + public holidays (+an extra day for every year you spend at Cleo) Regular lunch-and-learns as part of a general learning culture Online courses and internal training to level up your skills like from coding, to SQL, to management training  Choose your own gear, ask for the tools you need, and we’ll seek them out for you  Cleo socials and activities  Online mental health support via Spill We'll pay for your OpenAI subscription  A clear career progression path through Progression https://cleo-ai.progressionapp.com/  And many more!

UK App access:The Cleo app is no longer downloadable in the UK (but only until next year). If you’re an existing user, you’ll still have access to the app. But some features won’t be available (just for a little while). Why? 99% of our users are based in the US – where financial health is often overlooked. We’ve decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we’ll be able to apply what we learn to better support our UK users in the future. Check out this page for more information.

National AI Awards 2025

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.