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- Tasks: Train and deploy fraud detection models while researching new techniques.
- Company: Leading UK fraud detection company with a focus on innovation.
- Benefits: Flexible working hours, comprehensive benefits package, and remote work options.
- Why this job: Join a dynamic team and make a real difference in fraud prevention.
- Qualifications: One year of experience with ML models and strong analytical skills.
- Other info: Thriving hybrid environment with opportunities for growth and collaboration.
The predicted salary is between 30000 - 42000 £ per year.
A leading fraud detection company in the UK is seeking a Data Scientist to train and deploy fraud detection models. This role requires approximately one year of experience with ML models and strong analytical skills.
Responsibilities include:
- Building training infrastructure
- Maintaining SLAs
- Researching new fraud techniques
The ideal candidate will thrive in a hybrid team environment and possess excellent communication skills. The position offers flexible working hours and a comprehensive benefits package.
Junior Data Scientist – Fraud ML (Remote, Flexible) employer: Ravelin Technology
Contact Detail:
Ravelin Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist – Fraud ML (Remote, Flexible)
✨Tip Number 1
Network like a pro! Reach out to professionals in the fraud detection and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML models and any projects related to fraud detection. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in a hybrid team environment.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and enthusiasm!
We think you need these skills to ace Junior Data Scientist – Fraud ML (Remote, Flexible)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML models and analytical skills. We want to see how your background aligns 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 team. Keep it concise but engaging – we love a good story!
Showcase Your Communication Skills: Since this role involves working in a hybrid team environment, it’s crucial to demonstrate your communication skills. Whether it’s in your CV or cover letter, let us know how you’ve effectively collaborated with others in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Ravelin Technology
✨Know Your ML Models
Make sure you brush up on your knowledge of machine learning models, especially those relevant to fraud detection. Be prepared to discuss your experience with training and deploying these models, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Analytical Skills
During the interview, highlight specific examples where your analytical skills made a difference. Use data-driven results to demonstrate how your insights have led to successful outcomes in previous projects or roles.
✨Research the Company’s Techniques
Familiarise yourself with the latest trends and techniques in fraud detection that the company might be using. This shows your genuine interest in the role and helps you engage in meaningful conversations during the interview.
✨Communicate Clearly and Confidently
Since excellent communication skills are key for this role, practice articulating your thoughts clearly. Prepare to explain complex concepts in simple terms, as this will demonstrate your ability to work effectively in a hybrid team environment.
