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.

About you:

• Hands-on experimentation and proof-of-value in our lab environment
• Scoping and delivering end-to-end AI solutions
• Guiding and educating data scientists and data engineers throughout our organisation in relation to both methods and platform/tooling
• Cultivating strong relationships with data scientists and business experts across the organisation

You will:

• 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 believe that the most valuable asset is human potential.”

We offer:

This position can be located both in Lithuania and Denmark. If the position is located in Lithuania the monthly salary range will be from 2640 EUR to 3960 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package (benefits are only valid for Lithuania the same as the salary ranges) which includes:
Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.

• Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
• Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.

See all the benefits HERE.

Your title in job contract will be Data Scientist.

Curiosity, excitement, teamwork, and a near-obsession with understanding our frontline business are what I believe it will take to co-create the best data and AI solutions for our business. If you're interested in this role and joining my team, feel free to contact me - Michael Thruesen on LinkedIn, and I will be happy to answer your questions!