Would you like to help build the next generation of antimoney laundering (AML) and financial sanctions machine learning models (ML) at a top-tier CEE bankand bring them reliably into production at scale?
 
We are expanding our agile teams in the Group Compliance tribe to further develop and operate our ML models across the whole CEE region.
Our solutions are built on an event-based architecture that connects payments, trading, CRM, and core-banking systems across RBI and the wider Raiffeisen Banking Group.
We are looking for an ML/Data Scientist Engineer who wants to own the full lifecyclefrom exploration and model development to deployment, monitoring, and continuous improvementwhile helping us establish a robust ML-Ops framework for the entire group.

If you enjoy solving complex problems with high business impact and building ML products that meet regulatory standards, wed love to hear from you.  

Your responsibilities:

• Collect, clean, and preprocess large datasets from multiple sources
• Develop and implement statistical models and machine learning algorithms
• Analyze data to identify patterns, trends, and correlations
• Create data visualizations and reports to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
• Monitor and improve model performance over time
• Stay updated with the latest data science tools and techniques

Core Competencies:

• Data Science & Analytics
  • Strong analytical and problem-solving mindset
  • Statistics knowledge (hypothesis testing, evaluation metrics, class imbalance handling)
  • Hands-on experience with supervised learning (feature engineering/selection, hyperparameter tuning, evaluation)
  • Experience with data-quality analysis and data profiling
  • Strong SQL skills and experience with data modeling
• Business Knowledge
  • Understanding of banking/transaction data (or strong motivation to learn)
  • Willingness to create model documentation for regulatory, audit, and validation purposes
  • Data Engineering & MLOps
  • Delta Lake
  • Python & PySpark
  • MLflow
  • Software delivery basics (Git, code reviews, branching strategies)
• Agile mind-set
• Pro-active attitude and team orientation
• Excellent communication skills
• Structured working approach and problem-solving skills
• Very good command of English (mandatory), German is a plus
• Motivation to constantly improve and learn new technologies

Whats in it for you: 

• Work-Life-Balance: Flexible hours, work-from-home options from Austria, and 30 days/year remote work from any EU country. 
• Global community: 75+ nationalities, English as the company language, and work permit support. Our teams thrive on collaboration and mutual respect. 
• Career growth: We believe in continuous learning and proactive career development. Take on challenging work that stretches your abilities, attend trainings, and use new technologies to make a lasting impact. 
• Stay healthy: Subsidized canteen, well-being programs, check-ups, and sport allowances. 
• Save money: Discounts, exclusive banking terms, and a free public transport pass. 
• Family support: Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare. 
• Competitive salary: Starting at EUR 67.400 gross p.a. including overtime, with market-compliant overpayment based on experience and qualifications. We are happy to discuss your actual salary in person.