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Data Scientist (MLOps) for AI Assist Squad

At Danske Bank, we empower customer engagement by providing relevant and personalized advice and insights. Through a data-driven approach, we aim to attract, assist, and engage current and future customers across all touchpoints.

As part of our AI Assist Squad, you will help ensure that our AI-assisted solutions and analytics run smoothly, reliably, and at scale. This role focuses on building and maintaining robust data pipelines, deploying models, and implementing best practices in MLOps and DevOps to develop and deliver high-quality customer experiences. You will work closely with data scientists, engineers, and product owners to ensure operational excellence and continuous improvement.

"Be yourself. We like it that way."

You will:

As a Data Scientist in the AI Assist Squad, you will combine technical expertise with operational rigor to keep our AI solutions performing at their best. In this role, you will:

  • Develop and maintain data pipelines to ensure timely and accurate data flow for AI models
  • Implement MLOps practices for model deployment, monitoring, and lifecycle management
  • Automate workflows for model retraining, versioning, and performance tracking
  • Monitor system health and performance metrics, proactively identifying and resolving issues
  • Collaborate with engineers and product owners to integrate models into production environments
  • Optimize infrastructure and processes for scalability and reliability
  • Contribute to continuous improvement by adopting new tools and methodologies for operational efficiency

About you:

We are looking for a candidate with curiosity and eagerness to learn, technical foundations and experience in operationalizing AI solutions:

  • Proficient in working with the Azure platform, including Azure Machine Learning and Azure DevOps or GitHub Actions
  • Skilled in building and managing CI/CD pipelines and containerised solutions using Docker and Kubernetes
  • Hands-on experience with MLOps and DevOps best practices to ensure efficient system operations
  • Expertise in data engineering, ETL processes, and implementing monitoring and alerting systems
  • Proficient in scripting and automation using tools like Python and Bash
  • A proactive problem-solver with a strong sense of ownership and accountability
  • Adept at collaborating effectively with cross-functional teams in a dynamic environment
  • Advanced English language skills

We offer:

Monthly salary range from 2680 EUR to 4020 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.

Additional days of vacation

Canteen services and free fruits

24/7 gym services and group trainings

Free parking & charging ports - cars, bicycles, e-scooters

See all the benefits HERE.

Apply via:

Send your CV

If you are interested, please send your CV in English no later than 30.12.2025. Confidentiality guaranteed.

Your title in job contract will be Data Scientist.

Please apply as soon as possible as we conduct interviews on an ongoing basis. If you have questions, please reach out to Jan Baungaard, IT Lead, SVP. We look forward to receiving your application!
Jan Baungaard
Phone number [email protected] or +45 25 27 69 90

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