Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Train and deploy cutting-edge fraud detection models using machine learning.
- Company: Leading fraud detection company in the UK with a focus on innovation.
- Benefits: Health insurance, learning budgets, generous time off, and flexible work options.
- Why this job: Make a real impact in fraud prevention while working with advanced technology.
- Qualifications: Experience in machine learning and strong communication skills.
- Other info: Join a supportive team in a hybrid work environment that prioritises wellness.
The predicted salary is between 30000 - 50000 £ per year.
A leading fraud detection company located in the United Kingdom is looking for a Data Scientist to join their Detection team. In this role, you will train, deploy, and evaluate fraud detection models, utilizing your expertise in ML and software engineering best practices.
The ideal candidate will:
- Collaborate effectively
- Communicate technical concepts clearly
- Thrive in a hybrid work environment that values flexibility and wellness
Enjoy benefits like health insurance, learning budgets, and generous time off.
Fraud-Detection Data Scientist | Real-Time ML employer: Ravelin
Contact Detail:
Ravelin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud-Detection Data Scientist | Real-Time ML
✨Tip Number 1
Network like a pro! Reach out to folks in the fraud detection and data science space on LinkedIn. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to fraud detection. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of ML algorithms. Practise common data science problems and be ready to explain your thought process clearly—communication is key!
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Fraud-Detection Data Scientist | Real-Time ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud detection and how you can contribute to our Detection team. Keep it engaging and personal – we love to see your personality!
Showcase Collaboration Skills: Since we value teamwork, mention any experiences where you’ve successfully collaborated with others. Whether it’s in a project or a previous job, let us know how you communicate technical concepts clearly!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Ravelin
✨Know Your ML Models
Make sure you brush up on your machine learning models, especially those relevant to fraud detection. Be ready to discuss how you've trained, deployed, and evaluated models in the past. Having specific examples will show your expertise and confidence.
✨Communicate Clearly
Since the role requires clear communication of technical concepts, practice explaining complex ideas in simple terms. You might be asked to describe your previous projects or methodologies, so think about how to convey your thoughts effectively to non-technical stakeholders.
✨Show Your Collaborative Spirit
This company values collaboration, so be prepared to discuss how you've worked with others in a team setting. Share examples of successful projects where teamwork played a key role, and highlight your ability to adapt in a hybrid work environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current challenges in fraud detection or how they measure the success of their models. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
