Location: Vilnius, Lithuania

Are you keen to apply your data modelling expertise while driving initiatives with a significant impact on how we execute as a bank? Join the Decision Modelling team, shaping the future of automated credit decisions in transforming Nordic banking.

As a Senior Data Scientist in our ModelOps team, you will scale maintainable code development, automate processes, and build production-grade solutions across Decision Modelling. Working hands-on on our greenfield platform, you will support and guide Data Scientists and Engineers in turning models into stable, scalable solutions while contributing yourself.

You will be part of Decision Modelling consisting of 60 employees working from our offices in Copenhagen and Vilnius. We are a team with a flat structure and an informal atmosphere. Our focus is to have a good collaboration and enable the best in each other.

Danske Bank supports a high degree of workplace flexibility (our team is currently using a hybrid working model, where we work at least 3 days a week in the office).

You will be located in Vilnius, Lithuania.

"We celebrate multiple approaches and points of view. We believe diversity drives innovation."

You will:

• Support Decision Modelling on technical implementations and define model orchestration in our event-driven model infrastructure
• Improve and challenge our automated CI/CD pipelines, model orchestration and infrastructure
• Take a key role in implementing standards for our technical best practices, pythonic principles and frameworks as well hands-on building solutions
• Collaborate with product management and business stakeholders to understand company needs and advise on methodical solutions and technical best-practices
• Guide and mentor our data scientists and engineers, having various technical backgrounds, on technical subjects and understandings

About you:

• 2+ years of relevant experience within Mathematical modelling or Computer Science building data driven solutions
• Degree in Data Science, Computer Science, Mathematics, Physics, Statistics, or other relevant fields
• Experience working with DevOps principles, like GitHub Actions or Azure DevOps pipelines, building docker images, operational monitoring, etc
• Experience working with large scale Python projects applying code designs and principles
• Demonstrated a strong ability to work independently, take ownership, and deliver production-grade solutions in your current job
• Experience working with Micro service architecture or event-driven design (would be a benefit)
• Experience working with OpenShift and Kafka (would be a benefit)
• Upper-Intermediate English language skills

We offer:

Monthly salary range from 3440 EUR to 5160 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package 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 job function (position) in the job contract will be Data Scientist, Senior. From 1 April 2026 it will be renamed to AI Science under our new job architecture, with no impact on the role or responsibilities.

Feel free to contact me @LinkedIn if you have any questions - Jonas Røn Thorsgaard Steen, Hiring Manager.

#LI-DBLT