We’re now looking for a Data Scientist to join our team and play a key role in shaping Qliro’s credit and fraud capabilities. In this role, you’ll work across the full modelling lifecycle — from idea to production — and help us make smarter credit decisions while staying one step ahead of fraud. 

What you’ll do 

• Research, develop, and analyze machine-learning models within the credit domain 

• Work with real-time models for credit decisioning and fraud detection 

• Develop and improve portfolio-level scoring models 

• Monitor model performance, generate insights, and continuously improve existing models 

• Brainstorm and engineer new features that drive predictive power and business value 

• Contribute to projects that improve our model development processes, tooling, and infrastructure 

• Collaborate closely with data science, analytics, engineering, and business stakeholders 

Together with your team, you’ll be a key contributor to improving Qliro’s credit decisions, enabling more of our merchants’ customers to pay seamlessly through smart, data-driven fraud prevention. 

We believe you 

• Have a strong passion for data and understanding how it connects to real business problems 

• Curiosity in how to use software engineering skills to deploy code 

• Hold a background in a quantitative field such as engineering, physics, mathematics, statistics, or similar 

• Have experience building and deploying models using Python 

• Have experience with SQL and are comfortable working with data at scale 

• If you have worked with boosted decision trees and neural networks, this is beneficial.  

• Are familiar with Git and modern development workflows