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Senior​/Lead Data Scientist - Credit

Job in London, Greater London, W1B, England, UK
Listing for: Klarna
Full Time position
Listed on 2026-09-03
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 81425 - 116438 GBP Yearly GBP 81425.00 116438.00 YEAR
Job Description & How to Apply Below
Job-e59002e-9c7a-4abf-a2b3
- Location:

London Salary: 81425 - 116438 GBPType:
Full time Posted:
Contact: ivy.chiang

What you will do You will work on some of the most technically interesting modelling problems in fintech, training large transformer-based models on long sequences of real world transactional events. You will design tokenisation schemes for numerical, categorical, and temporal features, making deliberate decisions about vocabulary size, sequence length, and information compounding. Your work spans the full model lifecycle, from data preparation through to production and you will translate research decisions into systems that set the direction for how machine learning operates across Klarna.

You will be part of a small, high ownership team where what you build has genuine impact on the products Klarna ships. Who you are Deep understanding of transformer architectures and sequence modelling, with the ability to reason through architectural tradeoffs Hands-on experience designing tokenisation schemes for heterogeneous feature types such as numerical, categorical, and temporal Proficiency in Python, PyTorch, Sage Maker, and Airflow Experience owning the full model lifecycle, from training through to serving in production Comfortable working in a small, high ownership team on open ended technical problems Awesome to have

Experience with Triton kernels or GPU-level optimisation Broader ML background spanning areas beyond deep learning

Experience with large-scale transactional or financial data Background in ML infrastructure or MLOps Please include a CV in English Curious to learn more about Klarna and what it's like to work here? Explore our career site!
Position Requirements
10+ Years work experience
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