Back

Senior Data Scientist for Decision Modeling

Decision Modeling has a mission to disrupt traditional credit granting processes and put customers first through fast and transparent credit decisions. Our focal point is to engage gratification and higher customer satisfaction from what we do. Some of the key aspects that will take us there, are automated decisions in the customer journey by working from a perspective of contributing to a standardised process and minimizing resources spend.

You will be part of Decision Modeling, a team consisting of 40 employees working from our offices in Kgs. Lyngby and Vilnius. We are a team with a flat structure and informal atmosphere. Our focus is to have a good collaboration and enable the best in each other. You will be working in a self-organised Agile Squad, which brings together the best of expert knowledge and data analysis to secure a solid decision on retail customers and increase end-to-end ownership.

We work in a high-paced environment with many stakeholders, so for us to achieve goals, we all need to have high integrity for the team. You will collaborate across customers, risk, credit, IT and business in order to capture the necessary business understanding and secure the practical applicability of the final models.

Transition into our future model infrastructure

The position will give you the opportunity to prove yourself as a key person, and strategic thinker and become the tech specialist of the team. You have to be open-minded and not afraid of challenges, as you will be coordinating the projects by providing infrastructure ideas and solutions from the architectural point of view on a daily basis. With your eye for detail, sense of innovation and quality you will challenge the requests, bring better solutions and directly influence the Bank’s strategy.

You will:

  • Take an important role in projects from early stage to implementation in the PROD environment (from statistical/infrastructure analysis and discovery phases to creating CI/CD pipelines for real-time decision-making solutions)
  • Collaborate with product management and business stakeholders to understand company needs and advise on methodical solutions
  • Improve existing algorithms and build new Proofs of Concept
  • Prepare, test and implement the production set-up
  • Mentoring guide and support team development
  • Will to integrate yourself into the Decision Modeling world with the concept of understanding credit granting flow

Good business understanding and interact well with various people

In this role, the key success factor is your ability to communicate technical results in a non-technical and concise manner. Further, it is essential that you have abilities to put the customers first, collaborate with many different types of people, challenge ideas and constantly learn new things.

About you:

  • Master’s degree or equivalent, e.g. Computer Science, Data Engineering, Mathematics, Physics, Programming, Statistics, or other relevant fields
  • Thorough knowledge of programming languages: Python (primarily) & SQL
  • Knowledge of Python frameworks
  • Experience with REST APIs and usage of production tools
  • Proficiency in CI/CD implementation with Azure DevOps services
  • Solid knowledge of Git version control to maintain code
  • Experience in mentoring, and supervising team members
  • Ability to explain statistical concepts and results to non-specialists
  • Java and C# programming skills is a pro
  • Professional working proficiency (written and spoken), upper-intermediate English skills

Your high-quality assets are your innovative approach, creative problem-solving skills and your ability to be self-organizing. You will work autonomously with the mandate to move fast and do things differently – and dare to fail and learn from it.

By becoming part of this journey, you will get an original opportunity to work in a non-traditional banking set-up characterized by high pace, agile development, flat hierarchy and an overarching customer-focused approach.

We offer:

Monthly salary range from 2960 EUR to 4440 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; health insurance from the first day of employment; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
    • Hybrid working conditions: 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

Health insurance from the first day of employment

See all the benefits HERE.

Apply via:

Send your CV

If you are interested, please send your CV in English no later than 25.08.2022. Confidentiality guaranteed.

Your title in job contract will be Data Scientist, Senior.

Please contact if you have any questions.
Thomas Vicenci Witt
Phone number +45 50 54 82 70