Data Scientist

What We Do At Qliro

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.

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
• Experience with technologies such as dbt or Airflow is a strong plus — as is experience leading projects across multiple teams or departments.
  
  

What’s In It For You

You’ll join a skilled and ambitious data team working with a modern data platform at the core of Qliro’s decision-making. Your work will directly impact how the business operates, scales, and creates value — and you’ll have plenty of room to grow, learn, and shape our data journey going forward.