Lead Fraud Data Scientist: End-to-End ML at Scale

Deel; Lombardia; Hybrid; EUR 63,000 - 90,000; Full time

Job summary

Klarna is seeking a Senior/Lead Data Scientist for Fraud in Milan to own end-to-end ML systems, from raw data to production models, across hundreds of millions of transactions. You will build end-to-end pipelines, deploy models in real-time, and collaborate with cross-functional teams to replace rules with model-driven approaches.

You should have a strong background in Python, SQL, and scalable ML frameworks, plus experience with production-grade tools like Docker, Jenkins, and AWS services.

Qualifications

• End-to-end ML ownership across the full stack: data engineering, feature development, model design, training, and low-latency deployment.
• Proven track record of building ML models and pipelines from scratch.
• Strong Python and SQL skills with modern ML tooling.

Responsibilities

• Own the complete ML lifecycle from raw data to production deployment for fraud systems.
• Collaborate with engineers and stakeholders to translate business problems into technical solutions.

Skills

Python

SQL

scikit-learn

LightGBM

Docker

Jenkins

Production deployment

Graph networks

Education

Degree in computer science or related quantitative field

Tools

Docker

SageMaker

Lambda

S3

Athena

Job description

Klarna is seeking a Senior/Lead Data Scientist for Fraud in Milan to own end-to-end ML systems, from raw data to production models, across hundreds of millions of transactions. You will build end-to-end pipelines, deploy models in real-time, and collaborate with cross-functional teams to replace rules with model-driven approaches.

You should have a strong background in Python, SQL, and scalable ML frameworks, plus experience with production-grade tools like Docker, Jenkins, and AWS services.