# Data Scientist (f/m/x) (Compliance) at Raiffeisen Bank International AG

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> Responsibilities: - Lead end-to-end development of AML and s

- **Company:** Raiffeisen Bank International AG (https://jobs.trythestack.co/companies/raiffeisen-bank-international-ag)
- **Location:** Wien, AT, Austria
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 2–5 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** 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
- **Posted by employer:** 2026-05-28
- **Added to The Stack:** 2026-05-29
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.rbinternational.com/job/Wien-Data-Scientist-%28fmx%29-%28Compliance%29-Wien-1030/1362130157/ (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-fmx-compliance-raiffeisen-bank-international-ag

## 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.

## FAQ

- **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.

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