Do you want to use your data skills to create real social impact? As a Senior Data Scientist you’ll help fight financial crime by detecting suspicious behavior through advanced analytics and smart data models. Your work contributes directly to making the world a safer place.

Working in a multidisciplinary team of data scientists, engineers, and domain experts, you’ll enhance current rule based transaction monitoring systems and explore advanced analytics and machine learning solutions for the future.

What will you be doing?

• Develop, test, and optimize analytical rules and models that identify suspicious transaction patterns.
• Explore and integrate new data sources to improve model performance.
• Translate complex data insights into clear recommendations for stakeholders.
• Contribute to longterm strategies and innovation in the analytics landscape.
• Mentor and support medior and junior team members to ensure best practices

Who are you?

You’re not just interested in building models, you want your work to make a measurable difference. You’re motivated by purpose, powered by data, and eager to use your expertise to detect and prevent financial crime.

What we offer:

• A gross monthly salary between €5.000 and €6,500, depending on experience
• A 36 hour work week
• Access to our personal development program “Live your potential”
• The opportunity to gain experience across different organizations
• Travel allowance and a solid pension scheme
• A supportive team that offers plenty of room to learn and grow

What we ask:

• An academic degree (MSc or PhD) in Data Science, Econometrics, Mathematics, or a related field.
• 5+ years of experience in advanced analytics, modeling, or AI (ideally with large datasets).
• Proficiency in Python, PySpark, and Spark (experience with Azure Databricks is a plus).
• Proven experience in bringing analytical models into production.
• Excellent verbal and written communication skills in English.

Bonus points if you:

• Are driven by the mission to make financial systems safer and more effective.
• Combine analytical depth with structure, precision, and a pragmatic mindset.
• Thrive in a dynamic, fast-paced, and collaborative environment.
• Have experience working in Agile teams.