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- Tasks: Train, deploy, and evaluate fraud detection models using advanced machine learning techniques.
- Company: Join Ravelin, a fun and friendly fraud detection company with a strong culture.
- Benefits: Flexible working hours, comprehensive health insurance, and a £1,000 annual wellness budget.
- Why this job: Make online transactions safer while working with cutting-edge technology and a supportive team.
- Qualifications: Experience in building ML models with Python and strong analytical skills required.
- Other info: Enjoy a remote-first environment and opportunities for professional growth.
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 +
Data Scientist (Mid level) in London employer: Ravelin Technology Ltd
Contact Detail:
Ravelin Technology Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Mid level) 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 the company culture. This not only shows your interest but can also give you insider tips that might help you stand out during interviews.
✨Tip Number 2
Prepare for technical interviews by brushing up on your ML models and Python skills. Practice explaining your past projects clearly and concisely, focusing on how you tackled challenges. Remember, they want to see your thought process as much as your technical know-how!
✨Tip Number 3
Showcase your passion for fraud detection! Research recent trends in fraud prevention and be ready to discuss how you can contribute to Ravelin's mission. This will demonstrate your enthusiasm and commitment to making online transactions safer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Ravelin team. Good luck!
We think you need these skills to ace Data Scientist (Mid level) 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 relevant 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 your experience with ML models, Python, and any relevant tools like Docker or TensorFlow. This shows us you’ve done your homework and understand what we’re looking for.
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 culture and values!
How to prepare for a job interview at Ravelin Technology Ltd
✨Know Your ML Models Inside Out
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.
✨Show Off Your Collaboration Skills
Since the role involves working closely with various teams, highlight your ability to collaborate effectively. Prepare anecdotes that demonstrate how you’ve successfully communicated complex ideas to non-technical colleagues or clients. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Emphasise Your Problem-Solving Approach
Ravelin is looking for someone who can think critically about ambiguous fraud cases. Be prepared to discuss your thought process when investigating model performance issues. Use examples from your past work to illustrate how you approach problem-solving and decision-making in uncertain situations.
✨Familiarise Yourself with Their Culture
Ravelin prides itself on its strong culture of empathy, ambition, unity, and integrity. Before the interview, take some time to understand these values and think about how they resonate with your own work ethic. During the interview, weave these values into your responses to show that you’re a good cultural fit.
