Would you like to further develop your data modelling skills and use your capabilities in an area with notable effects on our business? Join the Decision Modeling team and contribute significantly to automating credit decisions.

As a Data Scientist, you will have an opportunity to build and migrate decision models together with your team to disrupt current credit granting processes and put customers first by fast and transparent credit decisions.

You will be part of Decision Modeling, a team consisting of 60+ employees working from our offices in Copenhagen and Vilnius. We are a team with a flat structure and an informal atmosphere. We work in a busy environment with many stakeholders. Our focal point is to ensure high customer satisfaction in everything we do. Some of the key aspects that will take us there are automated decisions in the customer journeys by creating standardised processes and minimizing resources spent.

For us to grow, we need to have a good and professional team atmosphere which requires high integrity, good collaboration skills, good team spirit and a positive mindset.

*Depending on your experience and knowledge, we may offer you different seniority in the role.

"Everyone is welcome – bring your authentic and full self to work."

You will:

• Develop and maintain our existing end-to-end decision flows to increase automation, improve advisory and reduce credit risk
• Make credit data analysis and profiling, ensuring the right data quality is in place
• Handle and manipulate data, contributing to the automation of the customer journey
• Collaborate with key stakeholders across customers, risk, credit, IT and business to capture the necessary business understanding
• Integrate into the application process by interconnecting IT and the customer journey

About you:

• 2+ years of relevant experience (working in data science, data analysis or coding experience using SQL or Python)
• High degree in Computer Science, Data Engineering, Mathematics, Physics, Programming, Statistics, or other relevant fields
• Experience solving technical problems using SQL and Python
• Ability to manage stakeholder management and collaborate with many different types of people communicating technical results in a non-technical and concise manner
• Upper-Intermediate English, both spoken and written with solid communication skills
• Knowledge of working with Azure Dev Ops pipelines, Docker and/or OpenShift (would be advantageous)
• Experience working with Object Oriented Programming in Python (would be beneficial, if not, we expect an open mind and willingness to take in)

We offer:

Monthly salary range from 2640 EUR to 3960 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 title in job contract will be Data Scientist.

"We work in a safe environment where everyone’s opinion is appreciated. Our team is characterized by high levels of collaboration, owning tasks as a team, but we rely on you as an individual giving your best shot at the solution."

Feel free to contact me @LinkedIn if you have any questions - Evelina Černiauskaitė, Head of Decision Modeling.