Data Scientist for IRB Framework – DoD/PD Team

Are you a data scientist with hands-on Python experience, keen to develop your expertise in Probability of Default (PD) models? Join the DoD/PD Team within IRB Framework and contribute to models central to Danske Bank’s risk management and regulatory compliance.

Part of Group Risk Analytics, IRB Framework maintains and operates Danske Bank’s Internal Ratings-Based (IRB) models, with the DoD/PD Team focusing on PD models.

You will join an international team based in Denmark and Lithuania, delivering analytical and technical solutions in a complex regulatory environment. The team combines recurring processes with analytical and development projects, offering opportunities to learn from experienced colleagues.

We are looking for a Data Scientist to help maintain and improve PD models. You will combine hands-on analytical work with stakeholder collaboration, gradually taking on more responsibility with guidance when needed.

Through model monitoring and improvement, you will deepen your knowledge of PD models, banking regulation and model governance while strengthening your technical and analytical expertise.

What you will be doing:

• Preparing, validating and analysing data to support PD model maintenance, monitoring and development.
• Investigating and resolving issues related to data, methodology and implementation to ensure PD models operate as intended, working with colleagues as needed.
• Clearly documenting and communicating analytical findings, monitoring results and model changes to stakeholders and supporting internal governance and regulatory processes.
• Collaborating with colleagues, sharing knowledge and contributing to continuous improvement.

About you:

• Have 2+ years of relevant experience in a data science, analytical, quantitative or technical role.
• Have practical Python and SQL experience, including writing, adapting and testing code to prepare and analyse data.
• Hold a higher education degree in a quantitative field, such as mathematics, statistics, economics, engineering, physics, data science or a related discipline.
• Are curious, organised and collaborative, with a willingness to learn, take initiative and ask for guidance when needed.
• Can explain analytical findings clearly and are interested in translating technical topics into accessible business insights.
• Are interested in credit risk and banking. Experience with PD models or in a regulated environment is an advantage, but not a requirement.
• Are fluent in English, both spoken and written.

What we offer you:

Monthly salary range from 2640 EUR to 3960 EUR gross (based on competencies relevant to the role).

Additionally, each Danske Bank employee receives an employee benefits package, which includes:

• Growth opportunities: a professional and supportive team, e-learning, development programmes (including professional certificates) and 100+ professions for internal mobility opportunities.
• Health & well-being: a diverse and inclusive work environment that supports work-life balance, additional health insurance, mental well-being practices, partial psychologist counselling compensation, silence and sleep zones at the office, and game rooms.
• Hybrid working conditions: work from home up to two days a week, a home office budget (after the probation period), and a modern Danske Campus workplace designed with an anthropologist to support the best employee experience.
• Additional days of leave: for rest, health, volunteering, exams at higher education institutions and other important activities, plus additional days based on your seniority at Danske Bank.
• Monetary compensation package: accident and critical illness insurance, financial support in case of unfortunate events, travel insurance, and third-pillar pension fund contributions.

Your contractual job title will be AI Science.

Are you ready for the next step?

Does this sound like the opportunity you have been looking for? We would like to hear from you.

If you have any questions, please contact Martynas Ruokis, DoD/PD Team Lead via LinkedIn.