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

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Lead development and operation of ML mod

- **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:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Machine Learning, Python, PySpark, SQL, MLflow, Delta Lake, Git, Supervised Learning, Feature Engineering, Data Modeling, Statistics, Data Visualization, MLOps, Agile Methodology, AML Compliance, Financial Sanctions
- **Posted by employer:** 2026-05-28
- **Added to The Stack:** 2026-06-02
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.rbinternational.com/job/Wien-Senior-Data-Scientist-%28fmx%29-%28Compliance%29-Wien-1030/1362130157/ (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-scientist-fmx-compliance-raiffeisen-bank-international-ag

## About the role

Responsibilities:
- Lead development and operation of ML models for AML and sanctions across the CEE region.
- Collect and preprocess cross-system event data (payments, trading, CRM, core banking) for modeling.
- Build, validate, and deploy supervised models with attention to class imbalance and regulatory requirements.
- Establish and maintain MLOps practices: model versioning, monitoring, CI/CD, and performance alerts.
- Communicate model results and risk insights via dashboards and stakeholder reports.
- Work in agile teams to ensure reliable production delivery and continuous model improvement.

Requirements:
- Strong experience with Python, PySpark, SQL, MLflow, and Delta Lake.
- Sound knowledge of statistics, supervised learning workflows, feature engineering, and evaluation metrics.
- Practical experience with data profiling, data-quality checks, and production monitoring.
- Familiarity with software delivery tools (Git, code review) and regulatory model documentation.
- Excellent communication skills, proactive attitude, English required; German is a plus.
- Motivation to learn banking domain specifics and contribute to group-wide MLOps standards.

## Responsibilities

Develop and operate machine learning models for anti-money laundering and financial sanctions across the CEE region. Manage the full ML lifecycle from data preprocessing and model development to deployment, monitoring, and MLOps framework establishment.

## Requirements

Requires strong expertise in Python, PySpark, SQL, and ML frameworks, along with a solid foundation in statistics and supervised learning. Candidates should have a proactive mindset and the ability to create regulatory documentation for banking environments.

## FAQ

- **Is this Senior 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, Supervised Learning, Feature Engineering, Data Modeling, Statistics, Data Visualization, MLOps, Agile Methodology, AML Compliance, Financial Sanctions.

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## Notes for agents

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