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

Nominate & Attend

Staff Data Scientist

Workable
Greater London
1 month ago
Create job alert

Who are we?

Hi! đź‘‹ We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers.

And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity, and integrity. We really value work/life balance and we embrace a flat hierarchy structure company-wide. Join us and you’ll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews.

If this sounds like your cup of tea, we would love to hear from you! For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses.

The Team

You will be joining the Detection team. The Detection team is responsible for keeping fraud rates low – and clients happy – by continuously training and deploying machine learning models. We aim to make model deployments as easy and error-free as code deployments. Google’s Best Practices for ML Engineering is our bible.

Our models are trained to spot multiple types of fraud, using a variety of data sources and techniques in real time. The prediction pipelines are under strict SLAs; every prediction must be returned in under 300ms. When models are not performing as expected, it’s down to the Detection team to investigate why.

The Detection team is core to Ravelin’s success. They work closely with the Data Engineering Team who build infrastructure and the Intelligence & Investigations Team who liaise with clients.

The Role

We are looking for a Staff Data Scientist to act as a technical leader on behalf of the Detection team, working on solving our most complex challenges. You will use your deep expertise to guide the team in investigating ambiguous cases and ensuring the fundamental integrity of our modeling approaches.

We have to build robust models that are capable of updating their beliefs when they encounter new methods of fraud. You will have the autonomy and influence to shape our technical roadmap and be provided with the resources you need to build world-class fraud detection models. You will not only tackle our most challenging greenfield research but also define the principles and practices that make our incremental improvements safe, scalable, and impactful.

Responsibilities

  • Lead the architectural design and evolution of our model evaluation and training infrastructure, ensuring scalability and best practices.
  • Spearhead the research, development, and deployment of novel modeling approaches for our most complex fraud problems, setting new standards for performance and robustness.
  • Mentor and develop other data scientists on the team, fostering a culture of technical excellence and innovation.
  • Influence technical and product strategy by collaborating with leadership across Data Science, Engineering, and Product.
  • Act as the final escalation point for the team's most challenging model performance and production issues, mentoring others in advanced debugging strategies.
  • Proactively identify and research emerging fraud typologies and cutting-edge machine learning techniques, setting the strategic direction for our fraud detection capabilities.
  • Drive significant improvements in our production ML infrastructure by identifying and implementing key features and architectural changes.

Requirements

  • Extensive, hands-on experience and a proven track record of designing, building, and deploying impactful ML platforms & ML models in a production environment.
  • Experience influencing the technical roadmap of adjacent teams, such as Data Engineering and Product, to build a more effective and cohesive ML ecosystem.
  • Deep expertise in data science and engineering best practices (version control, CI/CD, testing, observability) and a history of applying them to build robust, scalable machine learning systems.
  • Exceptional analytical and problem-solving skills, with a demonstrated ability to define and solve highly ambiguous, complex problems.
  • Proven ability to lead and influence cross-functional teams, driving complex projects to completion.
  • Exceptional communication skills, with the ability to articulate complex technical concepts and strategic rationale to a wide range of audiences, from junior engineers to executive leadership.
  • A high degree of autonomy and the ability to proactively identify, prioritize, and drive opportunities with significant business impact.
  • Being comfortable working with a hybrid team.

Nice to Haves

  • Experience with Go, C++, Java, or another systems language.
  • Experience with Docker, Kubernetes, and ML production infrastructure.
  • PyTorch/Tensorflow deep learning experience.
  • Experience using dbt

Benefits

  • Flexible Working Hours & Remote-First Environment — Work when and where you’re most productive, with flexibility and support.
  • Comprehensive BUPA Health Insurance — Stay covered with top-tier medical care for your peace of mind.
  • ÂŁ1,000 Annual Wellness and Learning Budget — Prioritise your health, well-being and learning needs with funds for fitness, mental health, and more.
  • Monthly Wellbeing and Learning Day — Take every last Friday of the month off to recharge or learn something new, up to you.
  • 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day — Enjoy generous time off to rest, travel, or celebrate what matters to you.
  • Mental Health Support via Spill — Access professional mental health services when you need them.
  • Aviva Pension Scheme — Plan for the future with our pension program.
  • Ravelin Gives Back — Join monthly charitable donations and volunteer opportunities to make a positive impact.
  • Fortnightly Randomised Team Lunches — Connect with teammates from across the company over in person or remote lunches every other week, on us!
  • Cycle-to-Work Scheme — Save on commuting costs while staying active.
  • BorrowMyDoggy Access — Love dogs? Spend time with a furry friend through this unique perk.
  • Weekly Board Game Nights & Social Budget — Unwind with weekly board games or plan your own socials, supported by a company budget.

*Job offers may be withdrawn if candidates do not meet our pre-employment checks: unspent criminal convictions, employment verification, and right to work*

Related Jobs

View all jobs

Staff Data Scientist

Staff Data Scientist

Staff Data Scientist

Lead Data Scientist

Data Scientist - Police Staff - Data Science Unit - Counter Terrorism Policing NW

Quantitative Researcher (Staff Data Scientist)

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.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.

How to Find Hidden Data Science Jobs in the UK Using Professional Bodies like the RSS, BCS & More

The data science job market in the UK is thriving—but also increasingly competitive. As organisations in finance, healthcare, retail, government, and tech accelerate digital transformation, the demand for data talent has soared. Yet many of the best data science jobs are never posted publicly. They’re shared behind closed doors—within professional networks, at invite-only events, or through member-only mailing lists and specialist interest groups. These “hidden” roles are often filled through referrals, collaborations, or direct outreach to trusted experts. In this guide, we’ll show you how to unlock these hidden opportunities by engaging with key UK professional bodies such as the Royal Statistical Society (RSS), BCS (The Chartered Institute for IT), and Turing Society, plus communities like PyData and AI UK. You’ll learn how to use directories, CPD events, and networks to move beyond job boards—and into roles where you’re approached, not just applying.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.