Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train, deploy, and evaluate cutting-edge fraud detection models using machine learning.
- Company: Join Ravelin, a friendly fraud detection company with a strong culture.
- Benefits: Flexible hours, health insurance, wellness budget, and generous holiday time.
- Why this job: Make online transactions safer while working with innovative tech and a supportive team.
- Qualifications: Experience in ML model building and strong analytical skills required.
- Other info: Enjoy fun team activities and opportunities for personal growth.
The predicted salary is between 28800 - 48000 £ per year.
Who are we? We are Ravelin, 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. 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 will learn fast about cutting-edge tech and work with some of the brightest and nicest people around.
The Team: You will be joining the Detection team, responsible for keeping fraud rates low and clients happy by continuously training and deploying machine learning models. 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 is down to the Detection team to investigate why.
The Role: We are currently looking for a Data Scientist to help train, deploy, debug and evaluate our fraud detection models. Our ideal candidate is pragmatic, approachable and filled with knowledge tempered by past failures. Evaluating fraud models is hard; often times we do not even get labels for 3 months. You will need to use your judgement when investigating cases of ambiguous fraud and when you are investigating the veracity of the model itself.
Responsibilities:
- Build out our model evaluation and training infrastructure.
- Develop and deploy new models to detect fraud whilst maintaining SLAs.
- Write new features in our production infrastructure.
- Research new techniques to disrupt fraudulent behaviour.
- Investigate model performance issues (using your experience of debugging models).
- Mentor junior members of the team.
Requirements:
- Significant experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn).
- Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering.
- Strong analytical skills.
- Being a strong collaborator with colleagues outside of your immediate team.
- Being skilled at communicating complex technical ideas to a range of audiences.
- The ability to prioritise and to manage your workload.
- Being comfortable working with a hybrid team.
Nice to haves:
- Experience with Docker, Kubernetes and ML production infrastructure.
- Tensorflow and deep learning experience.
- Experience using dbt.
- Experience with Go, C++, Java or another systems language.
Benefits:
- Flexible Working Hours & Remote-First Environment.
- Comprehensive BUPA Health Insurance.
- £1,000 Annual Wellness and Learning Budget.
- Monthly Wellbeing and Learning Day.
- 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day.
- Mental Health Support via Spill.
- Aviva Pension Scheme.
- Ravelin Gives Back.
- Fortnightly Randomised Team Lunches.
- Cycle-to-Work Scheme.
- BorrowMyDoggy Access.
- Weekly Board Game Nights & Social Budget.
Data Scientist in London employer: Ravelin
Contact Detail:
Ravelin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Ravelin on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s a great way to get insider info and show your genuine interest in the company.
✨Tip Number 2
Prepare for technical interviews by brushing up on your ML models and Python skills. Practice explaining your past projects and how you tackled challenges. Remember, they want to see your thought process, so be ready to discuss your approach to problem-solving!
✨Tip Number 3
Show off your collaborative spirit! Ravelin values teamwork, so be prepared to share examples of how you've worked with others in the past. Highlight your communication skills and how you’ve helped bridge gaps between teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Ravelin family. Good luck, and we can’t wait to see your application!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let us see your enthusiasm for data science and fraud detection. Share any personal projects or experiences that highlight your skills and passion for the field. We love candidates who are genuinely excited about what they do!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to match the job description. Highlight relevant experience with machine learning models and any specific tools mentioned, like Python or TensorFlow. This shows us you’ve done your homework and are serious about joining our team.
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate candidates who can communicate complex ideas simply, as this is key in our collaborative environment.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Ravelin
✨Know Your Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how you trained, deployed, and evaluated them, as well as any challenges you faced and how you overcame them.
✨Show Off Your Collaboration Skills
Ravelin values teamwork, so be ready to share examples of how you've collaborated with others, especially outside your immediate team. Highlight any experiences where you communicated complex ideas to non-technical colleagues or clients.
✨Demonstrate Your Problem-Solving Mindset
Since evaluating fraud models can be tricky, come prepared with examples of how you've tackled ambiguous problems in the past. Discuss your thought process and how you used your judgement to investigate issues.
✨Familiarise Yourself with Best Practices
Brush up on software engineering best practices, especially those related to ML engineering. Be ready to discuss version control, unit tests, and CI/CD processes, and how they apply to your work with machine learning models.