Principal Data Scientist in Financial Crime Compliance

Send your CV

Are you interested in developing advanced analytical solutions & models to identify complex patterns of activity? Do you wish to contribute to fighting financial crime? Do you thrive in leading projects aimed at converting extensive and intricate datasets into meaningful, actionable insights? Join us and apply your skills to a mission that matters!

We are looking for an experienced Data Scientist to join 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 will 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 3 days a week in the office).

This role does not include a relocation allowance.

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, as well as use your expertise to 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 in written and spoken English
Experience with big data technologies, particularly PySpark (would be beneficial)
Practical experience with cloud data platforms, especially AWS (would be beneficial)
Familiarity with the Databricks platform (would be beneficial)

We offer:

Monthly salary range from 5040 EUR to 7560 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.