Role overview
At Qliro, we develop safe and simple payment experiences for merchants and their customers. We work closely with e-commerce businesses across the Nordics, acting as a partner rather than just a provider — offering local expertise, tailored solutions, and strong personal relationships. When our merchants grow, we grow.
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.
Research, develop, and analyze machine-learning models within the credit domain
What you'll work on
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
What we're looking for
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
Experience with technologies such as dbt or Airflow is a strong plus — as is experience leading projects across multiple teams or departments.