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- Tasks: Develop and deploy ML models to combat fraud in a dynamic banking environment.
- Company: Join a leading global bank payment company with a focus on innovation.
- Benefits: Enjoy competitive salary, equity opportunities, and hybrid work flexibility.
- Why this job: Make a real impact in fraud prevention while collaborating with top-notch teams.
- Qualifications: Strong machine learning background and a degree or PhD in a STEM field.
- Other info: Be part of a forward-thinking team with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading global bank payment company is seeking a Fraud Prevention Data Scientist to join their Merchant Operations Group. This role involves developing and deploying ML models to strengthen fraud defenses while collaborating with engineering and analytics teams.
The ideal candidate has a strong background in machine learning and a degree or PhD in a STEM field.
The position offers competitive salary, equity opportunities, and supports hybrid work arrangements.
Senior Data Scientist - Fraud ML, Equity & Hybrid employer: GoCardless
Contact Detail:
GoCardless Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Fraud ML, Equity & Hybrid
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in fraud prevention or data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to fraud detection. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets noticed.
We think you need these skills to ace Senior Data Scientist - Fraud ML, Equity & Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fraud prevention and how your background makes you the perfect fit for our Merchant Operations Group. Keep it engaging and personal.
Showcase Your Technical Skills: Since this role involves developing ML models, make sure to mention specific tools and technologies you’re proficient in. We love seeing candidates who can demonstrate their technical prowess and how they’ve applied it in real-world scenarios.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at GoCardless
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how they work, their strengths and weaknesses, and any specific projects where you've successfully deployed them. This shows your expertise and readiness for the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineering and analytics teams, be ready to share examples of past collaborations. Highlight how you communicated complex data concepts to non-technical team members and how you contributed to a successful project outcome.
✨Understand the Fraud Landscape
Research current trends and challenges in fraud prevention within the payment industry. Being able to discuss recent developments or case studies will demonstrate your genuine interest in the field and your proactive approach to staying informed.
✨Prepare Questions About Hybrid Work
As the position supports hybrid work arrangements, think about what you want to know regarding their approach to remote collaboration. Asking insightful questions about team dynamics and communication tools can show that you're serious about making the most of this work style.