Data Scientist (f/m/x) (Compliance) - Advanced Group MLOps at Raiffeisen Bank International AG

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• 🏢 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:
- 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.

Key skills

• 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
• Supervised Learning — in 6 other listings on The Stack
• Feature Engineering — in 28 other listings on The Stack
• Hyperparameter Tuning — not in any other listing on The Stack
• Data Modeling
• Git
• Statistics
• Data Visualization
• Agile Methodology
• AML
• Financial Sanctions
• MLOps

On The Stack (as of 2026-11-05)

• Raiffeisen Bank International AG has 31 other listings on The Stack, 31 of them marked as offering visa sponsorship.
• 13 visa-sponsored jobs in Austria on The Stack, posted in the last 60 days.
• 68 visa-sponsored data scientist jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about Raiffeisen Bank International AG

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.