At a Glance
- Tasks: Rebuild fraud detection systems using cutting-edge machine learning techniques.
- Company: Join Klarna, a leader in innovative financial technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic startup environment with excellent career advancement potential.
- Why this job: Make a real impact by developing state-of-the-art solutions in fraud detection.
- Qualifications: Strong machine learning background and proficiency in Python and SQL required.
The predicted salary is between 60000 - 80000 £ per year.
Klarna is seeking a Data Scientist to rebuild its fraud detection systems.
You'll build state-of-the-art machine learning systems from scratch, owning the entire pipeline from data to production.
The ideal candidate will have a strong background in machine learning, experience in developing real-time systems, and proficiency in Python and SQL.
You'll work closely with engineers and stakeholders to create impactful solutions.
A degree in a quantitative field is required, and experience in startups is a plus.
#J-18808-Ljbffr
We think you need these skills to ace Senior Fraud ML Engineer: Real-Time End-to-End Systems
Machine Learning
Real-Time Systems Development
Python
SQL
Data Pipeline Management
Collaboration with Engineers and Stakeholders
Quantitative Analysis
