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Northmill Bank is a pioneering financial institution at the intersection of technology and finance, committed to revolutionizing the way people manage and protect their financial well-being. We are creating a different kind of banking experience, digital yet personal.
Northmill Bank was founded in 2006 and has grown to over 170 employees in 4 countries, 2.500 merchants, and 600.000 end users. We use the latest technology to develop safe, smart, and user-friendly products for our customers. They are the sole reason why we do what we do. We are a product company where technology is the driver to create smarter banking products.
Grab this opportunity to be a part of us and our journey!
About Our Tech Stack
We are seeking a talented Data Scientist to join our dynamic and cross-functional team. As a Data Scientist at Northmill, you will collaborate closely with Data Engineers, fellow Data Scientists, and Analysts to leverage data-driven insights that will drive our business forward. Your primary focus will be on data science initiatives across various areas of the bank, with a particular emphasis on credit scoring.
In this holistic role, you will be a part of the entire model lifecycle, from data collection and preparation to implementation. You will work closely with Data Engineers to ensure the availability of high-quality data, as well as with Analysts to ensure that your models are effectively applied in the business. Your contributions will play a vital role in shaping the future of our fintech bank, and your work will have a direct impact on our success.
Responsibilities
The ideal fit should have experience in statistical modeling, machine learning, and data visualization, combined with strong problem-solving skills, analytical abilities, and a prestigeless, collaborative spirit. We value individuals who are passionate about utilizing data to solve practical challenges and drive business outcomes.
Northmill is a tech company with a banking license aiming to improve financial life, offer merchants smart solutions and erase the borders between in-store and online.
Northmill creates a more personal and relevant experience for people and companies, helping more than 2,500 merchants and 600,000 end users.
Saved for users 31 MSEK
Trustpilot 4.6 of 5
Cloud 100 %
End users 600 000
Northmill Bank was founded in 2006 and has grown to over 170 employees in 4 countries, 2.500 merchants, and 600.000 end users. We use the latest technology to develop safe, smart, and user-friendly products for our customers. They are the sole reason why we do what we do. We are a product company where technology is the driver to create smarter banking products.
Grab this opportunity to be a part of us and our journey!
About Our Tech Stack
- FiveTran
- Snowflake
- DBT
- ThoughtSpot
- AWS (Lambda, S3, ECR)
We are seeking a talented Data Scientist to join our dynamic and cross-functional team. As a Data Scientist at Northmill, you will collaborate closely with Data Engineers, fellow Data Scientists, and Analysts to leverage data-driven insights that will drive our business forward. Your primary focus will be on data science initiatives across various areas of the bank, with a particular emphasis on credit scoring.
In this holistic role, you will be a part of the entire model lifecycle, from data collection and preparation to implementation. You will work closely with Data Engineers to ensure the availability of high-quality data, as well as with Analysts to ensure that your models are effectively applied in the business. Your contributions will play a vital role in shaping the future of our fintech bank, and your work will have a direct impact on our success.
Responsibilities
- You will be part of the entire model lifecycle, from data collection, through modeling and analysis, to model deployment and implementation.
- Work closely with Data Engineers to acquire and transform data.
- Collaborate with cross-functional teams to understand business needs and translate them into data science solutions.
- Create actionable insights and data visualizations that drive decision-making processes across the bank.
- Continuously monitor and optimize models to proactively drive model refinement.
- Stay up-to-date with the latest industry trends and emerging technologies in data science.
The ideal fit should have experience in statistical modeling, machine learning, and data visualization, combined with strong problem-solving skills, analytical abilities, and a prestigeless, collaborative spirit. We value individuals who are passionate about utilizing data to solve practical challenges and drive business outcomes.
- Bachelor's or Master's degree in a relevant field. (e.g., Computer Science, Statistics, Mathematics)
- +3 years of experience in data science or related roles.
- Proficiency in SQL/Snowflake for data querying and manipulation.
- Strong programming skills in Python and/or R for data analysis.
- Work-life balance - hit the gym two minutes away or go for a jog in the city.
- Event - highly appreciated “Northchill” every month.
- Health - 5000 kr health care allowance
- Breakfast and fruits every day, as well as "holy fika” each Friday.
- Regular after work and celebrated successes at the office.
- Stockholm's most beautiful office space, right in the city center with incredible views and our very own roof top terrace.
Northmill is a tech company with a banking license aiming to improve financial life, offer merchants smart solutions and erase the borders between in-store and online.
Northmill creates a more personal and relevant experience for people and companies, helping more than 2,500 merchants and 600,000 end users.
Saved for users 31 MSEK
Trustpilot 4.6 of 5
Cloud 100 %
End users 600 000
Key Skills
Ranked by relevance
data visualization
machine learning
python
s3
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- Posted
- Jan 10, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Stockholm
- Company
- Northmill Bank
Industries
Financial Services
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
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2026-06-18
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Data Scientist
2026-06-13
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View Job Details
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Senior Backend Engineer (C# & AWS)
2026-06-12
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