Area

Would you like to be part of a team focused on solving real-world business problems by transforming our approach to how we work with data and AI/machine learning at scale at Danske Bank?

With clear ties to our Forward ’28 Group Strategy, Group Data & Analytics is now creating the foundation for leveraging data and AI/ML capabilities. We are currently ramping up to build a highly specialised team that partners with our core business and development teams to deliver solutions that elevate data-driven decision-making and add value to our portfolio of existing and new IT applications.

To do so, we have recently established an AI & Data Science team that will empower the organisation to leverage data and AI technologies to deliver business value and benefits.

Not only do we want to build things right, but just as importantly, we want to build the right things—which, in the era of AI and all the hype that comes with it, can be a challenge. You will play a key role in striking that balance.

As part of our migration to AWS, you will also be involved in moving to our future Data Science platform to help accelerate the impact of machine learning across Danske Bank. This will happen in close collaboration with peers in other teams across the organisation. You will promote clear directions for standards, best practices, and ways of working with data science as formulated by our team.

Depending on your experience and knowledge, we may offer you different levels of seniority in the role.

Mission

• Hands-on experimentation and proof-of-value in our lab environment
• Scope and deliver end-to-end AI solutions
• Guide and educate data scientists and data engineers throughout our organisation in relation to both methods and platform/tooling
• Cultivate strong relationships with data scientists and business experts across the organisation

Skills

• Outcome-oriented with a focus on solving problems
• Effective communication and collaboration skills, with the ability to bring the right stakeholders together
• Curious about product development and technology trends, with a keen interest in knowledge and self-improvement
• Strong in mathematics, statistics, and machine learning
• Experience with the following or similar technologies: Python, Spark/PySpark, Airflow, SQL, Public cloud providers, particularly AWSD, databricks, FastAPI, MLflow, Monitoring frameworks (g., Prometheus, Grafana), Containerisation (g., Kubernetes, Docker, OpenShift), CI/CD, pipelines, Git/Azure DevOps
• Upper-intermediate English skills
• Experience with Design Thinking or a similar UX framework would be beneficial

We offer:

We will ensure that exact salary offered for you will be based on your qualifications, competencies, professional experience and requirements for the corresponding job function (salary range from 2640 EUR to 3960 EUR gross EUR/monthly).

Your title in job contract will be Data Scientist.

Michael Thruesen