<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p>Would you like to help build the next generation of anti–money laundering (AML) and financial sanctions machine learning models (ML) at a top-tier CEE bank—and bring them reliably into production at scale?<br/> <br/>We are expanding our agile teams in the Group Compliance tribe to further develop and operate our ML models across the whole CEE region.<br/>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.<br/>We are looking for an ML/Data Scientist Engineer who wants to own the full lifecycle—from exploration and model development to deployment, monitoring, and continuous improvement—while helping us establish a robust ML-Ops framework for the entire group.</p><p>If you enjoy solving complex problems with high business impact and building ML products that meet regulatory standards, we’d love to hear from you. </p><p> </p><strong>Your responsibilities:</strong><ul> <li>Collect, clean, and preprocess large datasets from multiple sources</li> <li>Develop and implement statistical models and machine learning algorithms</li> <li>Analyze data to identify patterns, trends, and correlations</li> <li>Create data visualizations and reports to communicate findings to stakeholders</li> <li>Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions</li> <li>Monitor and improve model performance over time</li> <li>Stay updated with the latest data science tools and techniques</li> <br/></ul> <br/><strong>Core Competencies:</strong> <ul> <li>Data Science &amp; Analytics <ul> <li>Strong analytical and problem-solving mindset</li> <li>Statistics knowledge (hypothesis testing, evaluation metrics, class imbalance handling)</li> <li>Hands-on experience with supervised learning (feature engineering/selection, hyperparameter tuning, evaluation)</li> <li>Experience with data-quality analysis and data profiling</li> <li>Strong SQL skills and experience with data modeling</li> </ul> </li> <li>Business Knowledge <ul> <li>Understanding of banking/transaction data (or strong motivation to learn)</li> <li>Willingness to create model documentation for regulatory, audit, and validation purposes</li> <li>Data Engineering &amp; MLOps</li> <li>Delta Lake</li> <li>Python &amp; PySpark</li> <li>MLflow</li> <li>Software delivery basics (Git, code reviews, branching strategies)</li> </ul> </li> <li>Agile mind-set</li> <li>Pro-active attitude and team orientation</li> <li>Excellent communication skills</li> <li>Structured working approach and problem-solving skills</li> <li>Very good command of English (mandatory), German is a plus</li> <li>Motivation to constantly improve and learn new technologies</li> </ul> <p> <br/></p> <br/><p> </p> <strong>What’s in it for you: </strong> <ul> <li><strong>Work-Life-Balance:</strong> Flexible hours, work-from-home options from Austria, and 30 days/year remote work from any EU country. </li> <li><strong>Global community:</strong> 75+ nationalities, English as the company language, and work permit support. Our teams thrive on collaboration and mutual respect. </li> <li><strong>Career growth:</strong> 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. </li> <li><strong>Stay healthy:</strong> Subsidized canteen, well-being programs, check-ups, and sport allowances. </li> <li><strong>Save money:</strong> Discounts, exclusive banking terms, and a free public transport pass. </li> <li><strong>Family support:</strong> Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare. </li> <li><strong>Competitive salary:</strong> 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. </li></ul> </div>