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For Companies At a Glance
- Tasks: Develop machine learning models to tackle fraud and billing challenges.
- Company: Leading internet tech company in London with a focus on innovation.
- Benefits: Inclusive environment, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in the FinTech industry.
- Qualifications: Strong background in machine learning, SQL, and Python required.
The predicted salary is between 36000 - 60000 £ per year.
A leading internet technology company in London seeks a Data Scientist to join its FinTech Data Science team. You will apply machine learning and statistical analyses to solve challenges related to Billing and Fraud.
Responsibilities include:
- Developing fraud detection models
- Collaborating with cross-functional teams
Ideal candidates should have a quantitative background with strong knowledge in machine learning, SQL, and Python. This role offers an inclusive environment aiming to innovate FinTech solutions.
FinTech Data Scientist: Fraud & Billing ML Innovator in London employer: CloudFlare
Contact Detail:
CloudFlare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land FinTech Data Scientist: Fraud & Billing ML Innovator in London
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to fraud detection or billing. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and Python skills. Be ready to discuss how you've used these tools in past projects, especially in solving real-world problems.
✨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 FinTech Data Scientist: Fraud & Billing ML Innovator in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning, SQL, and Python in your application. We want to see how your skills can help us tackle fraud and billing challenges!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the FinTech Data Scientist role. We love seeing how you connect your background to our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your achievements.
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!
How to prepare for a job interview at CloudFlare
✨Know Your ML Models
Brush up on your machine learning models, especially those relevant to fraud detection and billing. Be ready to discuss how you've applied these models in past projects, and think of specific examples that showcase your problem-solving skills.
✨SQL and Python Proficiency
Make sure you can demonstrate your SQL and Python skills during the interview. Prepare to answer technical questions or even solve coding challenges on the spot. Practising common queries and Python libraries used in data science will give you an edge.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to discuss your experience collaborating with others. Share examples of how you’ve successfully worked with different departments to achieve a common goal, highlighting your communication skills.
✨Stay Updated on FinTech Trends
Familiarise yourself with the latest trends and innovations in the FinTech space. Being able to discuss current challenges and advancements in fraud detection and billing will show your passion for the industry and your proactive approach to learning.
