Data Scientist
About this 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.
Responsibilities
- 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 workin