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Dedicated to powering entrepreneurs, Qred is a profitable, fast-growing fintech scale-up bank. In just 10 years, we’ve grown from a startup to hitting 1 billion SEK in annual revenue supporting over 50,000 entrepreneurs and helping create 10,000+ jobs every year. We combine smart tech with real-world experience to make funding simple, fast, and fair for entrepreneurs who need it most. With strong backing, a flat organization, and bold growth plans, we’re now looking for a Data Scientist to join us and shape the future of small business owners.
About The Role
As a Data Scientist at Qred, you’ll be a part of a Data Science team in the Product Organisation, where the Data Scientists collaborate with every part of the organisation. The team is led by an Engineering Manager, to make sure everyone is included, listened to, aligned, and heading in the same direction.
We are revolutionizing the SME lending space, and we need to keep a high pace and think in weeks rather than years. We believe in and encourage testing and trying new things, and think it's positive to learn from failures and move forward.
We like to use the term “full stack data science”, meaning that you would own projects end-to-end. This includes doing the following:
Why join us?
We're offering a unique opportunity to be part of a growing fintech company that's redefining financial services for small businesses in Northern Europe. You'll get to work with cutting-edge techniques and a fun, passionate, and innovative group. We're dedicated to building an environment where everyone can thrive and work-life balance is truly valued.
A few last things
This is a full-time, permanent position based from our office in Stockholm (Drottninggatan 98). While we encourage a hybrid setup, we do expect you to be at least three days per week at the office. Don’t wait to send in your application, we are reviewing applications on a rolling basis. While the start date is flexible, the right candidate can join us immediately.
Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law.
Qred is an international FinTech scale-up that specializes in digital financing solutions for small businesses, with operations in the Nordics, Benelux, Germany and Brazil. We are passionate about helping small businesses thrive and grow, by providing them with business loans and credit cards. Right now we’re in an exciting phase of our journey that focuses on growth through smart product development and technology fueled by international expansion.
About The Role
As a Data Scientist at Qred, you’ll be a part of a Data Science team in the Product Organisation, where the Data Scientists collaborate with every part of the organisation. The team is led by an Engineering Manager, to make sure everyone is included, listened to, aligned, and heading in the same direction.
We are revolutionizing the SME lending space, and we need to keep a high pace and think in weeks rather than years. We believe in and encourage testing and trying new things, and think it's positive to learn from failures and move forward.
We like to use the term “full stack data science”, meaning that you would own projects end-to-end. This includes doing the following:
- Data Collection, Feature Engineering and Preprocessing:
- Identify and collect relevant data with a focus on quality.
- Engineer features and preprocess data for robust model development.
- Model Development and Deployment:
- Develop, evaluate, and deploy statistical/machine-learning models.
- Integrate models into scalable systems.
- Collaboration with other teams and departments:
- Work closely with other competences, translating requirements into actionable tasks.
- Continuous Integration and Deployment (CI/CD):
- Use CI/CD processes for automated testing, deployment, and monitoring.
- Ensure reliability and maintainability of deployed models.
- Educational background from a quantitative field, such as Mathematics, Physics, Computer Science, Engineering etc
- Proven experience with SQL and are either fluent in Python or some other modeling language such as R or SAS and have a desire to learn Python.
- You have previously been involved in implementing machine learning models into a production environment.
Why join us?
We're offering a unique opportunity to be part of a growing fintech company that's redefining financial services for small businesses in Northern Europe. You'll get to work with cutting-edge techniques and a fun, passionate, and innovative group. We're dedicated to building an environment where everyone can thrive and work-life balance is truly valued.
A few last things
This is a full-time, permanent position based from our office in Stockholm (Drottninggatan 98). While we encourage a hybrid setup, we do expect you to be at least three days per week at the office. Don’t wait to send in your application, we are reviewing applications on a rolling basis. While the start date is flexible, the right candidate can join us immediately.
Qred celebrates diversity and does not discriminate based on ethnicity, religion, national origin, gender, sexual orientation, age, disability status, or any other applicable characteristics protected by law.
Qred is an international FinTech scale-up that specializes in digital financing solutions for small businesses, with operations in the Nordics, Benelux, Germany and Brazil. We are passionate about helping small businesses thrive and grow, by providing them with business loans and credit cards. Right now we’re in an exciting phase of our journey that focuses on growth through smart product development and technology fueled by international expansion.
Key Skills
Ranked by relevance
machine learning
big data
python
cicd
sql
sas
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- Posted
- Jun 27, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Stockholm
- Company
- Qred
Industries
Banking
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
Related
Consultant, Data and AI Analytics
2026-06-06
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Not Applicable
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Banking
Information Technology
View Job Details
Related
Data Scientist II
2026-05-28
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View Job Details
Related
Data Scientist Specialist
2026-05-28
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