Data Scientist (f/m/x) (Compliance) at Raiffeisen Bank International AG
May no longer be active — verify on the employer site
At a glance
- Company
- Raiffeisen Bank International AG
- Location
- Wien, AT, Austria
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Raiffeisen Bank International AG job
- 🏢 Raiffeisen Bank International AG has 32 jobs here, 32 with visa sponsorship see all
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Lead end-to-end development of AML and sanctions ML models: data ingestion, cleaning, modeling, deployment, and monitoring.
- Perform exploratory data analysis, feature engineering, and statistical evaluation on transaction and event-stream data.
- Implement MLOps best practices (MLflow, Delta Lake) to ensure reproducibility, monitoring, and model governance.
- Produce model documentation for regulatory, audit, and validation purposes; collaborate with stakeholders to operationalize models.
- Set up data-quality controls, experiments, and dashboards to measure model performance and business impact.
Requirements:
- Proficiency in Python, PySpark, and SQL; experience with Delta Lake and MLflow preferred.
- Strong understanding of supervised learning, evaluation metrics, hyperparameter tuning, and class imbalance strategies.
- Experience with data profiling, data modeling, and building production-ready ML pipelines.
- Excellent communication skills in English (German is a plus), an agile mindset, and the ability to produce regulatory documentation.
- Familiarity with Git and software delivery practices; motivated to learn banking data and compliance domain specifics.
Responsibilities
Develop and deploy machine learning models for anti-money laundering and financial sanctions within a banking environment. Manage the full ML lifecycle from data preprocessing and model development to monitoring and MLOps framework establishment.
Requirements
Requires strong expertise in Python, PySpark, and SQL, along with experience in supervised learning and statistical analysis. Candidates should have a proactive mindset and the ability to document models for regulatory and audit purposes.
Key skills
- Machine Learning — in 291 other listings on The Stack
- Python — in 1200 other listings on The Stack
- PySpark — in 42 other listings on The Stack
- SQL — in 545 other listings on The Stack
- MLflow — in 24 other listings on The Stack
- Delta Lake — in 22 other listings on The Stack
- Git — in 217 other listings on The Stack
- Data Modeling — in 184 other listings on The Stack
- Supervised Learning
- Feature Engineering
- Statistical Modeling
- Data Visualization
- MLOps
- Agile Methodology
- English Proficiency
- Data Profiling
On The Stack (as of 2026-11-05)
Frequently asked questions about Raiffeisen Bank International AG
Is this Data Scientist (f/m/x) (Compliance) role still open?
It was posted on 2026-05-28. Listings more than 30 days old may no longer be active, so check Raiffeisen Bank International AG's site before applying.
Does Raiffeisen Bank International AG offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Raiffeisen Bank International AG's site.
Where is this role located?
The listing gives the location as Wien, AT, Austria. It is marked on-site.
What skills does this role ask for?
The listing names: Machine Learning, Python, PySpark, SQL, MLflow, Delta Lake, Git, Data Modeling, Supervised Learning, Feature Engineering, Statistical Modeling, Data Visualization, MLOps, Agile Methodology, English Proficiency, Data Profiling.