Fraud ML Scientist: Build & Deploy Protective Models

Klarna; Warszawa; On-site; PLN 120,000 - 150,000; Full time

Job summary

A leading financial services company in Warsaw is seeking a skilled Data Scientist to build and deploy ML models that protect customers from fraud. The ideal candidate will have an advanced degree in a quantitative field and over 2 years of relevant experience. Proficiency in Python, SQL, and machine learning processes is essential. This role offers an opportunity to work on innovative projects within a dynamic team focused on maintaining high standards of data privacy and risk control.

Qualifications

• 2+ years of experience as a Data Scientist, ML Engineer, or related roles, preferably in the financial sector.
• Proficiency in ML from conceptual design to deployment and monitoring.
• Strong understanding of business value and when to deploy ML solutions.

Responsibilities

• Build and deploy ML models to combat fraud.
• Drive data science projects independently from start to finish.
• Maintain and retrain existing ML models in production.

Skills

Python

SQL

Machine Learning

Data Science

Statistical Analysis

Education

Master or Doctorate in a quantitative field

Tools

AWS (Sagemaker, Lambda, S3, Athena)

Docker

Jenkins

ML modeling packages (e.g. scikit-learn, LGBM)

GitHub

Job description

A leading financial services company in Warsaw is seeking a skilled Data Scientist to build and deploy ML models that protect customers from fraud. The ideal candidate will have an advanced degree in a quantitative field and over 2 years of relevant experience. Proficiency in Python, SQL, and machine learning processes is essential. This role offers an opportunity to work on innovative projects within a dynamic team focused on maintaining high standards of data privacy and risk control.