Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deploy machine learning models to detect fraud and mentor junior team members.
- Company: Leading fraud detection company in London with a focus on innovation.
- Benefits: Flexible hours, comprehensive health insurance, and generous time off.
- Why this job: Join a dynamic team and make a real impact in fraud detection.
- Qualifications: Experience with machine learning and proficiency in the Python data stack.
- Other info: Remote-first culture prioritising well-being and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading fraud detection company in London is looking for a Data Scientist to join their Detection team. The ideal candidate will have significant experience with machine learning, particularly using the Python data stack.
Responsibilities include:
- Deploying models to detect fraud
- Debugging issues
- Mentoring junior team members
The company offers a flexible working environment, comprehensive health insurance, and generous time off, prioritising both well-being and professional development.
Fraud Detection Data Scientist - Remote-First & Flexible Hours in London employer: Ravelin Technology
Contact Detail:
Ravelin Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fraud Detection Data Scientist - Remote-First & Flexible Hours in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fraud detection space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to fraud detection. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and case studies. We recommend practising how you'd explain your model deployment process and debugging techniques.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Fraud Detection Data Scientist - Remote-First & Flexible Hours in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and the Python data stack. We want to see how your skills align with our needs, 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 your background makes you a great fit for our team. Keep it engaging and personal – we love getting to know our applicants!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've deployed models or debugged issues in past roles. We’re looking for candidates who can think critically and tackle challenges head-on, so let us see your thought process!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Ravelin Technology
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to fraud detection. Be ready to discuss your experience with the Python data stack and any specific models you've deployed in the past.
✨Prepare for Technical Questions
Expect some technical questions that will test your problem-solving skills. Practice coding challenges or case studies related to fraud detection, as this will help you demonstrate your analytical abilities during the interview.
✨Showcase Your Mentoring Skills
Since mentoring junior team members is part of the role, think of examples where you've guided others. Be prepared to discuss your approach to mentoring and how you can contribute to the team's growth.
✨Emphasise Flexibility and Well-being
The company values a flexible working environment, so be sure to express your appreciation for work-life balance. Share how you manage your time effectively while ensuring productivity, which aligns with their focus on well-being.
