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- Tasks: Train, deploy, and evaluate cutting-edge fraud detection models using advanced machine learning.
- Company: Join Ravelin, a friendly fraud detection company with a strong culture and values.
- Benefits: Enjoy flexible working hours, comprehensive health insurance, and a generous wellness budget.
- Why this job: Make online transactions safer while working with a talented and supportive team.
- Qualifications: Experience in building ML models with Python and strong analytical skills required.
- Other info: Participate in fun team lunches, board game nights, and community volunteering.
The predicted salary is between 28800 - 48000 £ per year.
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.
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 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’ll need to use your judgement when investigating cases of ambiguous fraud and when you’re investigating the veracity of the model itself. We have to build robust models that are capable of updating their beliefs when they encounter new methods of fraud: our clients expect us to be one step ahead of fraud, not behind. You will be given the equipment, space and guidance you need to build world class fraud detection models. The work is not all green field research. The everyday work is about making safe incremental progress towards better models for our clients. The ideal candidate is willing to get involved in both aspects of the job – and understand why both are important.
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, for example with client support teams or engineering.
- 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 — 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.
Data Scientist (Mid level) employer: Ravelin
Contact Detail:
Ravelin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Mid level)
✨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 personality! Ravelin values a strong culture, so don’t be afraid to let your character shine through during interviews. Share your passion for fraud detection and how you align with their values of empathy, ambition, unity, and integrity.
✨Tip Number 4
Apply directly through our website! It not only shows your enthusiasm but also ensures your application gets the attention it deserves. Plus, you’ll find all the latest job openings and updates right there!
We think you need these skills to ace Data Scientist (Mid level)
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and fraud detection shine through! We love candidates who are genuinely excited about using machine learning to solve real-world problems.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with Python, ML models, and any relevant projects. We want to see how your skills align with what we do at Ravelin!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and skills. We appreciate clarity, especially when it comes to complex topics like machine learning.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Ravelin
✨Know Your Models
Make sure you’re well-versed in the machine learning models you’ve worked with. Be ready to discuss how you’ve trained, deployed, and debugged them in the past. Ravelin values practical experience, so share specific examples of challenges you faced and how you overcame them.
✨Understand the Business
Familiarise yourself with Ravelin’s mission and the importance of fraud detection. Show that you understand how your role as a Data Scientist contributes to keeping clients happy and safe. This will demonstrate your alignment with their values of empathy and ambition.
✨Collaboration is Key
Highlight your experience working with cross-functional teams. Ravelin emphasises unity, so be prepared to discuss how you’ve collaborated with data engineers or client support teams in the past. Share examples of how effective communication helped solve problems.
✨Ask Insightful Questions
Prepare thoughtful questions about the Detection team’s current projects or challenges they face. This shows your genuine interest in the role and helps you gauge if Ravelin’s culture and work align with your own values. Plus, it’s a great way to engage with your interviewers!
