Do You want to be part of transforming how we work with AI and machine learning at scale at Danske Bank?  

Are you a skilled ML engineer with a proven track record of deploying and managing Machine Learning models in multiple environments? Do you have a passion for automation, scalability and for optimizing ML workflows? If so, you might just be the one we are looking for. 

Danske Bank has a clear strategy that focuses on growth and profitability. Data Driven Danske is the one underlying data strategy for the bank; a comprehensive vision and foundation for building and harnessing data & analytics capabilities to enable delivery of the business strategy in a sustainable and repeatable fashion. 

From an AI/ML perspective, this is what we in Group Data & Analytics have committed to; namely to enable the organisation to adopt and scale AI/ML by defining and executing the one -group-wide data strategy, incl. how AI/algorithms transform and produces lower-level abstractions of the same. 

In Data Science & AI (part of Group Data & Analytics) we are ramping up to build a highly specialized team that partners with our core business- and development teams to deliver solutions in e.g. our product offering such as the Mobile Bank, e-Bank, website and other tooling for frontline advisors. 

About the role 

Currently, we are looking for strong candidates to help push our commercial agenda with a wide range of models, that identify customer needs, used to present to the customer their Next-Best-Action. Using data from customer interaction (messages, chats and calls) we develop ML solutions that help provide automatic replies and digital routing to create a better customer experience and lower costs from manual processes/handling. But this is only the beginning!  

In Danske Bank we have a strategy to migrate to public cloud with AWS. You will play a vital role in defining and building the future Data Science platform, thereby to help accelerate the impact of Machine Leaning and AI across Danske Bank.  

Anchored in Data Science & AI (Group Data & Analytics), but teaming up with business teams, we ensure that not only do we build the right things, but we also build it the right way. 

About you 

• You would be able to tick of most of the points below (but not necessarily all): 

• Deep knowledge (5+ years) of MLOps from previous hands-on roles or solid experience as an ML Engineer. 
• Understanding of, and ability to think , IT architectures for scale. 
• Works independently, but thrives in teaming-up with skilled colleagues. 
• Ability to set a product vision and deliver on a roadmap. 
• Self-driven with an ability to work individually and with others in the team and organisation. 
• Outcome-oriented with a focus on delivering. 
• Strong communication and collaboration skills, with the ability to bring the right stakeholders together. 
• Curious about product development, technology trends with a thirst for knowledge and self-improvement 

• Deployment and training of LLM’s 

Experience with following or similar: 

• Python 
• Spark/PySpark 
• Airflow 
• SQL 
• Public Cloud providers (preferably AWS) 
• FAST API 
• MLFlow 
• Monitoring frameworks (Prometheus, Graphana etc.) 
• Containerisation (ex. Kubernetees, Docker, Openshift) 
• CI/CD pipelines 
• Git/Azure DevOps 

About Us 
 
Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a data driven bank. To make better decisions - for our customers, our employees and the societies around us. 

If this sounds like you, don't hesitate to apply!  
 
If you want to hear more about this exciting role, do not hesitate contact Michael Thruesen on mail; mthru@danskebank.dk