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For Companies At a Glance
- Tasks: Optimise payment workflows and manage fraud through data analysis.
- Company: Leading EdTech company transforming education globally.
- Benefits: Hybrid work environment, competitive salary, and impactful projects.
- Why this job: Join a mission-driven team and shape the future of education.
- Qualifications: 4+ years in fraud management, analytics, SQL, and Python skills.
- Other info: Exciting opportunity for career growth in a dynamic industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading EdTech company is seeking a Senior Data Scientist to join their Payments Operations team. This role focuses on optimizing payment workflows and fraud management through data analysis.
Ideal candidates will have:
- At least 4 years of experience in fraud management and analytics
- Proficiency in SQL and Python
The position offers a hybrid work environment and the chance to impact the future of education globally.
Payments Operations Data Scientist - Fraud & ML employer: Preply
Contact Detail:
Preply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Payments Operations Data Scientist - Fraud & ML
✨Tip Number 1
Network like a pro! Reach out to folks in the EdTech space, especially those working in payments and fraud management. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects in SQL and Python, especially those related to fraud analytics. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled fraud issues or optimised payment workflows in the past. We want to see your problem-solving skills in action!
✨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 genuinely interested in joining our mission to transform education.
We think you need these skills to ace Payments Operations Data Scientist - Fraud & ML
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in fraud management and analytics. We want to see how your skills in SQL and Python can help us optimise payment workflows.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about the EdTech space and how you can contribute to our mission of impacting education globally.
Showcase Relevant Projects: If you've worked on projects related to fraud detection or payment systems, make sure to include them. We love seeing real-world applications of your skills!
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!
How to prepare for a job interview at Preply
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and techniques in fraud management and analytics. Brush up on your SQL and Python skills, as you might be asked to solve real-world problems during the interview.
✨Showcase Your Experience
Prepare specific examples from your past work that highlight your experience in optimising payment workflows and managing fraud. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Understand the Company’s Mission
Familiarise yourself with the company’s goals in the EdTech space. Be ready to discuss how your role as a Data Scientist can contribute to their mission of impacting education globally.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current challenges in payments operations, and how data science is shaping their strategies. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.