Payments Operations Data Scientist - Fraud & ML in London
Payments Operations Data Scientist - Fraud & ML

Payments Operations Data Scientist - Fraud & ML in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
Preply

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: Dynamic role with opportunities for professional growth.

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, and 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 in London employer: Preply

As a leading EdTech company, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our hybrid work environment allows for flexibility while empowering our team to make a meaningful impact on the future of education globally. With competitive benefits and opportunities for professional development, we are committed to supporting our employees in their career journeys.
Preply

Contact Detail:

Preply Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Payments Operations Data Scientist - Fraud & ML in London

✨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, particularly those related to fraud analytics. This will give us a clear picture of what you can bring to the table.

✨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 love hearing about your hands-on experience!

✨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.

We think you need these skills to ace Payments Operations Data Scientist - Fraud & ML in London

Data Analysis
Fraud Management
SQL
Python
Optimisation of Payment Workflows
Analytics
Experience in EdTech
Hybrid Work Environment

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 data science in 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 from our team.

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 EdTech sector and StudySmarter’s mission to impact education globally. Be ready to discuss how your role as a Data Scientist can contribute to this vision and improve payment operations.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, current challenges in payments operations, and how data science is leveraged within the company. This shows your genuine interest and helps you assess if it’s the right fit for you.

Payments Operations Data Scientist - Fraud & ML in London
Preply
Location: London

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>