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Senior Data Scientist (f/m/x) (Compliance)
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? We are expanding our agile teams in the Group Compliance tribe to further develop and operate our ML models across the 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 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.
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.
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
o Strong analytical and problem-solving mindset
o Statistics knowledge (hypothesis testing, evaluation metrics, class imbalance handling)
o Hands-on experience with supervised learning (feature engineering/selection, hyperparameter tuning, evaluation)
o Experience with data-quality analysis and data profiling
o Strong SQL skills and experience with data modeling
* Business Knowledge
o Understanding of banking/transaction data (or strong motivation to learn)
o Willingness to create model documentation for regulatory, audit, and validation purposes
o Data Engineering & MLOps
o Delta Lake
o Python & PySpark
o MLflow
o Software delivery basics (Git, code reviews, branching strategies)
* Pro-active attitude and team orientation
* 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
What’s 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.
Build a career where your work truly matters. At Raiffeisen Bank International, with more than 17 million customers across Austria and CEE, it’s our people who make the difference. From day one, you’ll take responsibility, grow beyond ladders and org charts, and help us deliver lasting value to our customers. We are dedicated to fostering diversity, inclusiveness, and equity — striving to create a culture where every voice is heard and every individual feels valued and respected.
Your benefits at one sight:
Join a team that values your well-being and professional development, offering a variety of benefits to support your success.
Don\'t just watch your future happen. Make it happen.
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