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- Tasks: Lead projects using machine learning to enhance payment solutions and prevent fraud.
- Company: Dynamic financial technology company based in London.
- Benefits: Hybrid working model, competitive salary, and equity options.
- Why this job: Make a real impact in fraud prevention while working with cutting-edge technology.
- Qualifications: STEM degree or equivalent experience, plus skills in Python and SQL.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A financial technology company is looking for a Senior Data Scientist to join their Payment Intelligence team in London. This role centers around leveraging machine learning models to enhance payment solutions and fraud prevention. You will lead projects from concept to production, collaborating with engineers and product managers.
Ideal candidates will have a STEM degree or equivalent experience and proficiency in Python and SQL. The position offers a hybrid working model and competitive salary packages.
Senior Data Scientist, Fraud & Payments — Hybrid + Equity in London employer: GoCardless
Contact Detail:
GoCardless Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Fraud & Payments — Hybrid + Equity in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working in fraud and payments. A friendly chat can open doors and give you insights that might just land you that Senior Data Scientist role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to payment solutions or fraud prevention. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Ace the interview by being ready to discuss your thought process. We love candidates who can articulate how they approach problem-solving, especially with Python and SQL. Be prepared to dive deep into your past projects!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at this exciting fintech company.
We think you need these skills to ace Senior Data Scientist, Fraud & Payments — Hybrid + Equity in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world projects, especially in fraud prevention or payment solutions.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the Senior Data Scientist role. Mention any relevant projects where you’ve led initiatives from concept to production.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure to express your passion for data science and how you can contribute to our Payment Intelligence 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 this exciting opportunity in our hybrid working model!
How to prepare for a job interview at GoCardless
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning models and algorithms. Be ready to discuss how you've applied them in real-world scenarios, especially in fraud detection or payment solutions. This will show that you can hit the ground running!
✨Showcase Your Collaboration Skills
Since this role involves working closely with engineers and product managers, be prepared to share examples of successful teamwork. Highlight any projects where you led a team or collaborated across departments to achieve a common goal.
✨Get Comfortable with Python and SQL
You’ll want to demonstrate your proficiency in Python and SQL during the interview. Consider preparing a few coding challenges or discussing past projects where you used these languages to solve complex problems. This will help you stand out as a strong candidate.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s approach to fraud prevention and payment solutions. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.
