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- Tasks: Analyse large datasets to uncover fraud patterns and assist clients in understanding incidents.
- Company: Leading fraud detection company based in Greater London with a client-focused approach.
- Benefits: Flexible remote work, health insurance, and a wellness budget for your well-being.
- Why this job: Join a dynamic team and make a real difference in fraud detection using data.
- Qualifications: Experience with SQL and Python, plus strong critical thinking skills.
- Other info: Exciting opportunity for growth in a supportive, remote-first environment.
The predicted salary is between 28000 - 38000 £ per year.
A leading fraud detection company in Greater London is seeking a Junior Data Scientist to join their client-facing team. This role involves analyzing vast datasets to detect fraud patterns and trends, directly assisting clients in understanding their fraud incidents.
Candidates should possess critical thinking skills, experience with SQL and Python, and a passion for data analysis.
A flexible, remote-first work environment is offered, along with comprehensive benefits including health insurance and a wellness budget.
Remote Fraud Analytics Data Scientist (Junior) employer: Ravelin
Contact Detail:
Ravelin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Fraud Analytics Data Scientist (Junior)
✨Tip Number 1
Network like a pro! Reach out to professionals in the fraud analytics field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects. Whether it's a personal project or something from your studies, having tangible examples of your work can really impress potential employers.
✨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 and refine your answers.
✨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 Remote Fraud Analytics Data Scientist (Junior)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data analysis shine through! Share any personal projects or experiences that highlight your love for digging into datasets and uncovering insights.
Highlight Relevant Skills: Make sure to emphasise your experience with SQL and Python in your application. We want to know how you've used these tools in the past, so don’t hold back on sharing specific examples!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your skills align with the job description and how you can contribute to our client-facing team. It shows us you’re genuinely interested!
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Ravelin
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical experience and understanding of data analysis.
✨Understand Fraud Patterns
Research common fraud patterns and trends relevant to the industry. Being able to discuss these during your interview will demonstrate your critical thinking skills and your genuine interest in the role.
✨Prepare for Client Scenarios
Since this role involves client interaction, think about how you would explain complex data findings to someone without a technical background. Practising these scenarios can help you communicate effectively during the interview.
✨Show Your Passion
Let your enthusiasm for data analysis shine through! Share any personal projects or experiences that highlight your passion for the field. This can set you apart from other candidates and show that you're genuinely interested in contributing to the team.