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- Tasks: Deploy machine learning models to detect fraud and mentor junior team members.
- Company: Join a leading fraud detection company with a focus on innovation.
- Benefits: Enjoy flexible hours, comprehensive health insurance, and generous time off.
- Why this job: Make a real impact in fraud detection while prioritising your well-being.
- Qualifications: Experience with machine learning and proficiency in the Python data stack.
- Other info: Remote-first culture with a strong emphasis on professional development.
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
- Deploy models to detect fraud
- Debug issues related to model deployment and performance
- Mentor junior team members
Benefits
- Flexible working environment
- Comprehensive health insurance
- Generous time off
- Prioritises well-being and professional development
Fraud Detection Data Scientist - Remote-First & Flexible Hours in City of Westminster 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 City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to fraud detection. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence.
✨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 City of Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of a Fraud Detection Data Scientist. Highlight your experience with machine learning and the Python data stack, as these are key for us at Ravelin Technology.
Showcase Your Projects: Include specific projects where you've deployed models or tackled fraud detection challenges. We love seeing real-world applications of your skills, so don’t hold back!
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you express why you're excited about this role and how you can contribute to our team.
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’s super easy!
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 related to fraud detection. Be ready to discuss specific algorithms you've used and how they apply to real-world scenarios. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Your Python Skills
Since the job requires experience with the Python data stack, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries like Pandas, NumPy, and Scikit-learn to impress your interviewers.
✨Prepare for Problem-Solving Questions
Expect questions that test your ability to debug issues related to model deployment and performance. Think of examples from your past experiences where you faced challenges and how you overcame them. This will highlight your analytical skills and resilience.
✨Mentorship Mindset
Since mentoring junior team members is part of the role, be ready to discuss your approach to mentorship. Share any experiences you've had in guiding others, and express your enthusiasm for helping teammates grow. This will show that you're not just a lone wolf but a team player who values collaboration.
