Senior Data Scientist

Northmill Bank is a challenger bank 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 have grown to over 240 employees in 3 countries and over 270 000 customers. 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 100% cloud-based 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:

Dagster

Snowflake

DBT

Amazon Quick

AWS (Lambda, S3, ECR)

About the role
We are seeking a Senior Data Scientist to join our dynamic and cross-functional team. As a Senior Data Scientist at Northmill, you will collaborate closely with Data Engineers, fellow Data Scientists, Analysts, and key business stakeholders to proactively identify opportunities and leverage data-driven insights that will drive our business forward. Your primary focus will be on leading data science initiatives across various areas of the bank.
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 and business leaders to ensure that your models are effectively applied and communicated across 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:

Take proactive ownership 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 and advise stakeholders to proactively anticipate business needs and translate them into data science solutions.

Create and present actionable insights and data visualizations that drive decision-making processes across the bank.

Continuously monitor and optimize models to proactively drive model refinement and communicate performance findings to stakeholders.

Stay up-to-date with the latest industry trends and emerging technologies in data science, proactively proposing new initiatives where applicable.

Qualifications
The ideal fit should have experience in statistical modeling and machine learning, from the financial sector, combined with strong problem-solving skills, analytical abilities, excellent stakeholder communication, 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)

+5 years of experience in data science or related roles.

Proficiency in SQL/Snowflake for data querying and manipulation.

Strong programming skills in Python for data analysis and machine learning, including hands-on experience using common ML libraries.

Proficiency with Git and version control in collaborative settings.

What we offer

A fantastic office in a prime Stockholm location with great spaces and views

An independent role with the opportunity to make a real impact

Great opportunities for professional development

Health - 5 000 kr wellness allowance

Conference abroad every other year

Breakfast and fruits every day, as well as "holy fika” each Friday

Regular after work and celebrated successes at the office

Apply today and be a part of Northmill!