Senior Data Scientist: FinTech ML & Production Systems

Klarna; Stockholms kommun; On-site; SEK 662,032 - 882,709; Full time

Job summary

Klarna is seeking a skilled professional to tackle challenging modelling problems in fintech, focusing on training large transformer-based models. You will design tokenisation methods for various data types and oversee the entire model lifecycle, making impactful contributions to Klarna's machine learning systems.

The ideal candidate has a strong understanding of transformer architectures, proficiency in Python, and experience working in a high-ownership team. Expertise in tools like PyTorch and SageMaker is highly desirable.

Qualifications

• Deep understanding of transformer architectures and sequence modelling.
• Hands-on experience with tokenisation for numerical, categorical, and temporal features.
• Experience with the full model lifecycle from training to serving.

Responsibilities

• Work on modelling problems in fintech, training transformer-based models.
• Design tokenisation schemes for various feature types.
• Translate research into systems for machine learning at Klarna.

Skills

Transformer architectures

Tokenisation schemes

Python

PyTorch

SageMaker

Airflow

Job description

Klarna is seeking a skilled professional to tackle challenging modelling problems in fintech, focusing on training large transformer-based models. You will design tokenisation methods for various data types and oversee the entire model lifecycle, making impactful contributions to Klarna's machine learning systems.

The ideal candidate has a strong understanding of transformer architectures, proficiency in Python, and experience working in a high-ownership team. Expertise in tools like PyTorch and SageMaker is highly desirable.