Data Scientist
QliroSweden16 hours ago
Full-timeEngineering, Information Technology
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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
We believe 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.
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
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.
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.
Key Skills
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