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Klarna

Senior/Lead Data Scientist -Credit

Klarna Milan, Lombardy, Italy · €65K–€93K/yr

Software Development · 1,001-5,000 employees

Jun 24
data-scientist Senior (5-10 yrs) Full-time Italy
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About the role

You will design and train large transformer-based models for transactional events and manage the full model lifecycle from preparation to production. Your role involves translating research decisions into scalable systems that influence machine learning operations across the company.

What they look for

Transformer architectures Sequence modelling Python PyTorch SageMaker Airflow Tokenisation Machine learning Data preparation Model lifecycle Triton kernels GPU-level optimisation MLOps Financial data Transactional data

Requirements

Candidates must have a deep understanding of transformer architectures, sequence modelling, and hands-on experience with tokenisation schemes. Proficiency in Python, PyTorch, SageMaker, and Airflow is required, along with experience owning the full model lifecycle.

Full description

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, SageMaker, 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!

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