Senior Data Scientist - Payments Operations & Fraud
Senior Data Scientist - Payments Operations & Fraud

Senior Data Scientist - Payments Operations & Fraud

Full-Time 48000 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse payment workflows and manage fraud to optimise the payments ecosystem.
  • Company: Innovative Ed-Tech company in the UK with a dynamic team culture.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Make a real impact on product strategy while working with a collaborative team.
  • Qualifications: 4+ years in fraud management and strong skills in SQL or Python.
  • Other info: Join a forward-thinking company that values innovation and teamwork.

The predicted salary is between 48000 - 72000 Β£ per year.

An innovative Ed-Tech company in the United Kingdom is seeking a Data Scientist for its Payments Operations team. The role focuses on analyzing payment workflows and fraud management to optimize the payments ecosystem.

Candidates should have at least 4 years of experience in fraud management, a knack for data analysis, and proficiency in SQL or Python.

This position offers opportunities to impact product strategy and work collaboratively in a dynamic team culture.

Senior Data Scientist - Payments Operations & Fraud employer: Preply

Join an innovative Ed-Tech company in the UK that values creativity and collaboration, offering a vibrant work culture where your contributions directly influence product strategy. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work alongside passionate professionals in a dynamic team environment. Enjoy the unique advantage of being part of a forward-thinking organisation dedicated to optimising payment operations and fraud management, making your role both meaningful and rewarding.
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Contact Detail:

Preply Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior Data Scientist - Payments Operations & Fraud

✨Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those already working in payments or fraud management. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those related to fraud management. This will give us a clear picture of what you can bring to the table.

✨Tip Number 3

Ace the interview! Brush up on your SQL and Python skills, and be ready to discuss how you've tackled fraud issues in the past. We love seeing candidates who can think critically and solve problems on the spot.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate individuals who want to make an impact in the Ed-Tech space.

We think you need these skills to ace Senior Data Scientist - Payments Operations & Fraud

Data Analysis
Fraud Management
SQL
Python
Analytical Skills
Collaboration
Problem-Solving Skills
Product Strategy

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience in fraud management and data analysis. We want to see how your skills in SQL or Python can contribute to optimising our payments ecosystem.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about the role and how your background aligns with our innovative Ed-Tech mission. Keep it engaging and relevant!

Showcase Your Projects: If you've worked on any projects related to payments or fraud management, don’t hold back! Share specific examples that demonstrate your analytical skills and impact on product strategy.

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 in our Payments Operations team!

How to prepare for a job interview at Preply

✨Know Your Data Inside Out

Make sure you brush up on your data analysis skills, especially in SQL and Python. Be prepared to discuss specific projects where you've tackled fraud management or optimised payment workflows. Having concrete examples will show your expertise and how you can contribute to the team.

✨Understand the Payments Ecosystem

Familiarise yourself with the current trends and challenges in the payments industry. Being able to discuss recent developments or case studies related to fraud management will demonstrate your passion for the field and your proactive approach to staying informed.

✨Showcase Your Collaborative Spirit

Since this role involves working in a dynamic team culture, be ready to share experiences where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in previous roles, as this will resonate well with the interviewers.

✨Prepare Thoughtful Questions

At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful queries about the company's approach to fraud management or how they measure success in their payments operations. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Senior Data Scientist - Payments Operations & Fraud
Preply

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