Data Scientist

Nordnet Bank AB

Stockholm, SwedenPosted 2 days agoDiscoveredMatch locked

Full-time3+ years expSystemanalytiker och IT-arkitekter m.fl.

About the role

Nordnet redefined the financial world as the first digital bank in Europe. Now we are about to do it again - this time by putting AI at the heart of our strategy. You'll embark on a challenging journey alongside skillful teams of sharp and committed colleagues. We're searching for a Data Scientist to join Nordnet's AIR (AI & Research) function, working embedded within one of our cross-functional teams. Your mission: Bring the best possible AI capabilities to life as robust solutions, both internally and for our customers.

The Setup

You'll be working in a full-stack team with different competencies and together tackle the full lifecycle - from exploring possibilities to deploying production features. Our technical foundation is Google Cloud Platform, where we've deployed internal and customer facing GenAI features. Now we're scaling what works and developing new capabilities. This is not a theoretical role; you're a builder and problem-solver who thrives on iteration. You'll report to our Data Science Manager while working daily with developers, analysts and designers.

What You'll Do

Build and maintain production AI pipelines from experimentation through deployment and monitoring. Collaborate with engineers throughout the development cycle - you'll work together on architecture and implementation in an iterative fashion. Drive quality through evaluation, metrics, and testing of AI solutions. Champion AI Governance - Ensure compliance with the bank's regulatory framework by clarifying AI concepts and risks

This is you

You take pride in your work and are driven by curiosity - you want to continuously learn and grow.

You likely have

Experience with LLMs, GenAI and agentic AI

Python skills for both exploration and production code.

SQL proficiency for data analysis and pipeline building.

Knowledge of ML/AI evaluation, metrics, and best practices.

Experience with ML/AI in cloud environments (GCP experience is a plus).

We also get excited if you have

Experience working embedded.

Comfort presenting technical work to diverse audiences.

Interest in finance, investing, or personal finance.

We think that you have 3+ years experience working as a Data Scientist, ML Engineer or AI Engineer with a University degree in data science, computer science, mathematics, engineering or similar field.

We offer

Work in a product-focused environment with direct impact

Growth opportunities as a data scientist in a fast-moving AI space

Competitive salary and compensation

You'll work in a Nordic environment with high ambitions and a strong focus on delivery, product development, and technology. Culture is built and cared for, each day by everyone. We're proud of ours. Having a flat organization where anyone can talk to anyone creates a warm and friendly atmosphere worth protecting. We believe in a culture where every effort counts and where everyone is recognized - a culture embracing our core values of passion, simplicity, and transparency on all levels, no matter who you are or what you do. We are over 900 employees in Stockholm, Oslo, Helsinki, Copenhagen and Frankfurt. Visit us on www.nordnetab.com, www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi.

Application

We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. If you have questions, please contact Talent Acquisition Partner lovisa.malmberg@nordnet.se We want to inform you that Nordnet conducts credit and background checks as well as a drug test on the final candidate. We look forward to receiving your application!

Not included in the source posting: about the role.

Skills

artificial-intelligencemachine-learninggcpgenerative-aillmpythonsql

Who can apply

The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.

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