# Data Scientist (f/m/x) (Compliance) - Advanced Group MLOps 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: - Own the full ML lifecycle for AML and fi

- **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:** Python, PySpark, SQL, MLflow, Delta Lake, Supervised Learning, Feature Engineering, Hyperparameter Tuning, Data Modeling, Git, Statistics, Data Visualization, Agile Methodology, AML, Financial Sanctions, MLOps
- **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-Advanced-Group-MLOps-Vien-1030/1362130257/ (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-fmx-compliance-advanced-group-mlops-raiffeisen-bank-international-ag

## About the role

Responsibilities:
- Own the full ML lifecycle for AML and financial sanctions models: data exploration, model development, deployment, monitoring, and continuous improvement.
- Collect, clean, and preprocess large, event-based datasets from payments, trading, CRM and core-banking systems.
- Design features and implement supervised learning solutions (feature engineering, selection, hyperparameter tuning).
- Implement model training, validation and performance monitoring; ensure models meet regulatory and audit requirements.
- Collaborate with cross-functional teams to translate business needs into data-driven solutions and clear model documentation.
- Contribute to establishing and improving group-wide MLOps practices (MLflow, CI/CD, model registries, deployment automation).

Requirements:
- Hands-on experience with Python, PySpark and strong SQL skills; familiarity with Delta Lake and MLflow.
- Solid foundation in statistics and supervised learning (evaluation metrics, hypothesis testing, class-imbalance handling).
- Experience in data profiling, data-quality analysis and data modelling for ML use cases.
- Practical knowledge of version control (Git), code review practices and software delivery basics.
- Strong communication skills, agile mindset, proactive teamwork and structured problem-solving.
- Very good English (mandatory); German is a plus. Motivation to learn banking/transaction data and produce regulatory documentation.

## 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 proficiency in Python, PySpark, SQL, and MLflow, 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 audits.

## FAQ

- **Is this Data Scientist (f/m/x) (Compliance) - Advanced Group MLOps 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: Python, PySpark, SQL, MLflow, Delta Lake, Supervised Learning, Feature Engineering, Hyperparameter Tuning, Data Modeling, Git, Statistics, Data Visualization, Agile Methodology, AML, Financial Sanctions, MLOps.

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## Notes for agents

- Apply on the employer's page (https://jobs.rbinternational.com/job/Wien-Data-Scientist-%28fmx%29-%28Compliance%29-Advanced-Group-MLOps-Vien-1030/1362130257/). The Stack does not take applications.
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