Senior Data Scientist / AI Engineer - Generative AI

Nordea; Stockholms kommun; Hybrid; SEK 1,050,000 - 1,350,000; Full time

Benefits offered by this job

Hybrid work model

Diversity and inclusion

Job summary

Nordea is seeking an experienced Senior Data Scientist / AI Engineer to build and scale Generative AI applications. The role is permanent based in Stockholm or Helsinki with a hybrid model requiring three days per week in the office.

This is an English-speaking working environment. You will join Nordea’s AI & Machine Learning team within GFCP, delivering production-grade GenAI solutions for financial crime prevention across the Nordea group, collaborating with business stakeholders and

Qualifications

• MSc or PhD in Data Science, ML, CS, Software Engineering, Math, Physics, Statistics, or related field; equivalent practical experience valued.
• 3+ years of experience delivering production ML/AI systems in Python.
• Experience developing generative AI applications using LLM APIs, RAG, agentic frameworks.
• Experience with structured testing, evaluation metrics, and experimentation for AI applications.
• Experience with standard DevOps practices: Git, observability, production debugging.
• Solid understanding of systems design for ML & AI applications.
• Proven track-record turning ideas into prototypes, then production applications.
• 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 Gen AI applications.
• Collaborate with cross-functional teams to deliver end-to-end solutions.
• Design and implement evaluation frameworks to measure and improve application quality.
• Contribute to best practices, tooling and architecture for Generative AI development.
• Document models and evaluations to meet risk and compliance standards and ensure responsible use of AI.

Skills

3+ years ML/AI production

GenAI applications

LLM APIs / RAG

Testing & evaluation metrics

DevOps & observability

Systems design for ML/AI

Prototype to production

Communication skills

Education

MSc or PhD in Data Science/related

Tools

Python

Git

Job description

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. We work in a hybrid model and expect team members to work three days per week in the office. This is an English‑speaking working environment.

About The Team

Join Nordea’s AI & Machine Learning team, part of the group financial crime prevention (GFCP) unit that provides financial crime prevention services across Nordea. We use AI to improve how we detect and investigate financial crime across the bank, helping to keep our customers, our company, and society safe. The team is about 25 colleagues based in Stockholm, Helsinki and Copenhagen. We have already launched Nordea’s first generative AI product and are now building the next wave of high impact generative AI use cases. Collaboration, ownership, passion and courage guide how we work and make decisions.

Why this role is exciting

This is an opportunity to work on real‑world Generative AI applications in a domain where quality, robustness and responsible AI matter. You will help turn ideas into production‑grade AI solutions in financial crime prevention, working closely with business stakeholders and experienced colleagues across the Nordics.

In this role, you will

• Identify and prototype high‑impact GenAI projects with business stakeholders
• Build, deploy and monitor production‑grade Gen AI applications
• Collaborate with cross‑functional teams (product, engineering, data) to deliver end‑to‑end solutions
• Design and implement evaluation frameworks to measure and improve application quality
• Contribute to best practices, tooling and architecture for Generative AI development
• Document models and evaluations to meet risk and compliance standards and ensure responsible use of AI

Your background and skills

• MSc or PhD in Data Science, Machine Learning, Computer Science, Software Engineering, Mathematics, Physics, Statistics, or related fields. Equivalent practical experience is also valued.
• 3+ years experience delivering production ML/AI systems in Python
• Experience developing generative AI applications, using LLM APIs, RAG, agentic frameworks, or emerging patterns (MCP, A2A, etc.)
• Experience with structured testing, evaluation metrics, and experimentation for AI applications
• Experience with standard DevOps practices: git, observability, and production debugging
• Solid understanding of systems design for ML & AI applications
• A proven track‑record of turning ideas into prototypes, and prototypes into production applications
• A knack for tackling complex problems and creating simple solutions
• Strong communication skills across technical and non‑technical stakeholders

What We Offer

Hybrid working model – we believe in the value of bringing people together while embracing flexibility. We provide a culture that fosters performance and growth in one of the largest Nordic banks, offering opportunities to evolve, develop and learn from brilliant colleagues with diverse backgrounds. Diversity and inclusion are a natural part of our daily work; we genuinely believe that our diverse backgrounds, experiences, characteristics and traits make us stronger together.

Next steps

Submit your application no later than 03/08/2026. For more information you are welcome to contact Wen Zhou, Head of Unit, at [e-mail]. A Background Check will be performed for the person selected for this position, including internal applicants.

For candidates in Finland: A security clearance will be performed for the person selected for this position.

For candidates in Sweden: For union information, please contact Finansförbundet at [e-mail] or SACO at [e-mail].