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For Companies At a Glance
- Tasks: Optimise payment workflows and analyse user behaviour to combat fraud.
- Company: Innovative Ed-Tech company in the UK with a focus on collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on product development while working with a dynamic team.
- Qualifications: 4+ years in payment operations analytics, SQL and Python proficiency required.
- Other info: Join a forward-thinking team dedicated to transforming education through technology.
The predicted salary is between 36000 - 60000 £ per year.
An innovative Ed-Tech company in the UK seeks a Data Scientist for the Payments Operations team. This role involves optimizing payment workflows, analyzing user behavior, and leading fraud management.
Candidates should have at least four years of experience in payment operations analytics, proficiency in SQL and Python, and a solid grasp of data analysis concepts.
This position offers the opportunity to impact the product roadmap and work within a collaborative team environment.
Payments Operations Data Scientist: Fraud & Growth in City of London employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Payments Operations Data Scientist: Fraud & Growth in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the Ed-Tech space, especially those working in payments or data science. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to payment operations or fraud analysis. This will help us see your practical experience and how you can contribute to our team.
✨Tip Number 3
Prepare for the interview by brushing up on common data science scenarios, particularly in payments. Think about how you've optimised workflows or tackled fraud issues in the past – we love hearing real-life examples!
✨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 us you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Payments Operations Data Scientist: Fraud & Growth in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, especially in payment operations analytics.
Be Specific About Your Experience: When detailing your past roles, focus on your achievements in fraud management and user behaviour analysis. We love numbers, so if you can quantify your impact, even better!
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who understand our mission in the Ed-Tech space, so make sure to align your application with our values and goals.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Preply
✨Know Your Data Inside Out
Make sure you’re well-versed in data analysis concepts, especially as they relate to payment operations. Brush up on your SQL and Python skills, and be ready to discuss specific projects where you've optimised workflows or tackled fraud management.
✨Showcase Your Analytical Mindset
Prepare to demonstrate how you approach problem-solving. Think of examples where your analytical skills led to significant insights or improvements in user behaviour analysis. This will show the interviewers that you can think critically and contribute to their product roadmap.
✨Collaborative Spirit is Key
Since this role involves working within a team, be ready to talk about your experiences in collaborative environments. Share instances where you’ve successfully worked with others to achieve a common goal, particularly in the context of payments or data science.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to fraud management and growth strategies. This not only shows your interest in the role but also gives you a chance to assess if the company culture aligns with your values.
