
Senior Data Scientist / AI Engineer
1w1 week agoNordea
Stockholm, SE · Full-time · SEK 750,000 – SEK 950,000
About this role
We are looking for an experienced Senior Data Scientist / AI Engineer to build and scale Generative AI applications. The role is permanent based in Stockholm or Helsinki in a hybrid model, expecting three days per week in the office. This is an English-speaking working environment.
You will join Nordea’s AI & Machine Learning team, part of the group financial crime prevention unit. The team of about 25 colleagues is based in Stockholm, Helsinki and Copenhagen. We have launched Nordea’s first generative AI product and are building the next wave of high impact generative AI use cases.
Collaboration, Ownership, Passion, Courage guide how we work and make decisions. Work on real-world Generative AI applications in financial crime prevention, where quality, robustness, and responsible AI matter. Turn ideas into production-grade AI solutions with business stakeholders and experienced Nordic colleagues.
This role offers chances to advance your career or break new ground in expertise. Join a culture that fosters performance and growth in one of the largest Nordic banks. Evolve, develop and learn from brilliant colleagues with diverse backgrounds.
Requirements
- MSc or PhD in Data Science, Machine Learning, Computer Science, Software Engineering, Mathematics, Physics, Statistics, or a related field; equivalent practical experience valued
- 5 years+ experience building and deploying production ML/AI systems in Python
- 2 years+ experience developing generative AI applications using LLM APIs, RAG, modern orchestration, agent-based patterns or other relevant technologies
- Strong systems design skills for ML & AI applications
- Proven track-record of turning ideas into prototype, and prototype into production
- Ability to evaluate and improve AI application quality using structured testing and experimentation
- Strong communication skills across technical and non-technical stakeholders
Responsibilities
- Identify and prototype high impact GenAI projects with business stakeholders
- Build, deploy and monitor production-grade AI applications
- Design robust evaluation approach to measure and improve application quality
- Help shape best practices, tooling and architecture for Generative AI development
- Support and mentor teammates through hands-on collaboration
- Document models and process to meet risk and compliance standards for responsible and compliant use of AI
Benefits
- Hybrid work model with three days per week in the office
- English-speaking working environment
- Advance career or break new ground in area of expertise
- Culture that fosters performance and growth
- Opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds
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