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- Tasks: Analyse data to prevent fraud and enhance compliance using advanced technologies.
- Company: Leading firm in fraud prevention and AML compliance with a global impact.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Join a mission-driven team making a difference in the fight against identity fraud.
- Qualifications: Strong analytical skills and experience with data science tools.
- Other info: Fast-paced environment with significant career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud.
Data Scientist - Post Sales in London employer: Sardine
Contact Detail:
Sardine Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Post Sales in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Sardine on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving machine learning and AI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and algorithms. We can use platforms like LeetCode or HackerRank to sharpen our abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to highlight how our skills align with Sardine's mission in fraud prevention.
We think you need these skills to ace Data Scientist - Post Sales in London
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let us see your enthusiasm for data science! Share specific examples of projects or experiences that highlight your skills in machine learning and AI. We love seeing how you can apply your knowledge to real-world problems.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Scientist-Post Sales role. Highlight relevant experiences that align with our focus on fraud prevention and AML compliance. We want to know how your background fits into what we do at Sardine!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it gives you a chance to explore more about who we are and what we do!
How to prepare for a job interview at Sardine
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in machine learning and AI. Be ready to discuss specific algorithms you've used and how they apply to fraud prevention. This will show that you understand the technical side of things.
✨Understand the Company’s Mission
Familiarise yourself with Sardine's mission in fraud prevention and AML compliance. Knowing their platform and how it uses device intelligence and behaviour biometrics will help you align your answers with their goals during the interview.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully applied data science techniques to solve problems. Be ready to explain your thought process and the impact of your work, especially in contexts similar to fraud detection.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company. Inquire about their current challenges in fraud prevention or how they see the future of AI in their operations. This shows your genuine interest and helps you gauge if it's the right fit for you.
