Principal Data Scientist in Financial Crime Compliance

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We are seeking an experienced Data Scientist for our Financial Crime Compliance Models, Solutions & Data Analytics unit in Warsaw. You will work with colleagues across the Nordics, Lithuania, and Poland.

As a Principal Data Scientist, you’ll be a key driver in developing and implementing sophisticated data‑driven models that help protect our customers and society from financial crime.

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

This role does not include a relocation allowance.

"Be yourself. We like it that way."

You will:

• Lead the end‑to‑end development of advanced machine learning and AI models, from conceptualisation and data exploration to deployment and performance monitoring
• Architect and build scalable data pipelines and analytical workflows using Python, SQL, and big‑data technologies
• Mentor other data scientists and analysts within the team, promoting a culture of technical excellence and innovation
• Collaborate closely with stakeholders, including investigators, risk managers, and IT specialists, to understand complex problems and translate them into data‑driven solutions
• Drive the adoption of new technologies and methodologies to keep our analytical capabilities up to date, and review and challenge models and analytical solutions from other units
• Serve as a subject‑matter expert on data science within the financial crime domain, including delivery of presentations to senior, non-technical audiences on these topics

About you:

• 5+ years in a Data Scientist role, with a strong portfolio of completed machine learning/AI projects
• Full proficiency in Python and its data science ecosystem (e.g., pandas, scikit‑learn, NumPy, TensorFlow/PyTorch)
• Deep expertise in SQL for complex data manipulation, aggregation, and querying across large datasets
• Extensive experience in developing and deploying machine learning and AI models in a production environment
• Advanced written and spoken English
• Experience with big data technologies, particularly PySpark (beneficial)
• Practical experience with cloud data platforms, especially AWS (beneficial)
• Familiarity with the Databricks platform (beneficial)

We offer:

This position can be located both in Lithuania and Poland.

If you are hired in Lithuania, the applicable salary range will be from €5 040 to €7 560 monthly based on your competencies.

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

• Growth opportunities: professional & supportive team, e‑learning, numerous development programs; including professional certificates; 100+ professions for internal mobility opportunities.
• Health & Well‑being: a diverse, inclusive, work & life balance 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 an anthropologist for the best employee experience.
• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities; also for seniority.
• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; third‑pillar pension fund contribution.

Your title in the job contract will be Data Scientist, Principal.

If you’re interested in this role and joining the team, feel free to contact Kim Kongsted via LinkedIn; I will answer your questions.

About Us

Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22 000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank for our customers, our employees and the societies around us.

Seniority level: Not Applicable.

Employment type: Full‑time.

Job function: Analyst and Finance.

Industries: Financial Services and IT Services and IT Consulting.