At a Glance
- Tasks: Design and deploy innovative fraud detection models using end-to-end machine learning.
- Company: Klarna, a leader in fintech, revolutionising fraud detection systems.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team in London with a focus on innovation and collaboration.
- Why this job: Make a real impact on fraud prevention while working with cutting-edge technology.
- Qualifications: Experience in machine learning, data science, and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
Klarna is rebuilding its fraud detection systems in London with full ownership from raw data to production models.
You will design and deploy model-driven architectures that scale across hundreds of millions of transactions, working with engineers, analysts, and stakeholders to ship cutting-edge fraud detection solutions.
The role emphasizes end-to-end ML responsibilities, from feature engineering to monitoring and retraining, leveraging graph networks and anomaly detection to drive real impact.
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Lead Data Scientist - Fraud, End-to-End ML employer: PLP Group
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