Head of AI Personalization

Head of AI Personalization

About the role

You will be responsible for both the strategic direction and day-to-day delivery, playing a central role in building AI solutions that create real business impact and an improved customer experience.

Who are we

The AI Personalization team sits in the Personal Customers AI CoE - a diverse team of Data Scientists, ML Engineers with various educational and cultural backgrounds. We are responsible for applying AI in Danske Bank’s customer facing solutions, ranging anywhere from ML models used for personalisation and marketing optimisation to chatbots and advisor assistants.

• What You’ll Do
• Lead, motivate, and develop a team of data scientists (4 full time and 1 student), ensuring high-quality delivery and continuous professional growth
• Define roadmaps and priorities together with stakeholders (e.g., product owners, business leads) to focus on the most value-creating projects
• Contribute to modelling, data transformation, feature engineering, validation, and deployment of advanced statistical and machine learning models
• Ensure best practices for data pipelines, code conventions, version control, and model governance
• Oversee model monitoring, performance evaluation, and operational stability in production
• Support experiment and A/B test design, result evaluation, and clear communication of insights to both technical and non-technical stakeholders
• Drive innovation by evaluating and adopting new tools, technologies, and methods within machine learning, AI, and data engineering
• What You Bring
• Several years of experience as a data scientist, with at least 1–2 years of leadership or technical lead responsibilities for other data scientists
• Strong expertise in statistical methods and machine learning, including models such as regression, tree-based methods, neural networks, etc.
• Solid programming skills (e.g., Python, R), database experience (SQL/NoSQL), and knowledge of MLOps practices, model deployment, and operations in production
• Experience with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures
• Ability to communicate complex technical topics clearly to non-technical colleagues and senior stakeholders
• Proactive, structured, and quality-oriented; able to work strategically while staying close to the daily deliveries
• Nice to Have
• Experience with marketing automation or personalization platforms (e.g., Salesforce, Adobe, Pega)
• Familiarity with uplift modelling, causal ML, or reinforcement learning for offer optimization
• Experience deploying models into production using MLOps tools (e.g., MLflow, Airflow, Docker, Azure ML)
• Why Join Us?
• Help shape how the bank interacts with its customers using advanced analytics and AI
• Join a growing, ambitious AI team working at the core of our digital transformation
• Collaborate across an agile and business-oriented organization
• Working in our new HQ with great facilities (2-3 days per week)
• Interested?

Please send your CV and a short motivational letter including:

1. Key data science projects you have led and their business impact
2. Your leadership or technical lead experience
3. The technologies and methods you are most confident with and those you wish to further develop

Apply now or reach out to Rasmus Gansted Brink – RBRI@danskebank.dk for more information. Let’s build the future of AI together.

Deadline for applications is Sunday 5th October.