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Staff Data Scientist

Ravelin Technology
London
1 month ago
Applications closed

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Who are we?

Hi! 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.

Who are we?

Hi! 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
  • £1,000 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*

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionOther
  • IndustriesIT Services and IT Consulting

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