Data Scientist (f/m/x) (Compliance) - Advanced Group MLOps at Raiffeisen Bank International AG
Wien, AT, Austria
Posted
on-site · full-time · Visa sponsorship
Apply for this role at Raiffeisen Bank International AG
Responsibilities:
- Lead data preparation and feature engineering for AML and sanctions detection across multiple data sources.
- Build, validate and deploy supervised machine learning models; perform hyperparameter tuning and model selection.
- Set up and maintain model monitoring, alerting and retraining workflows to ensure stable production performance.
- Produce clear visualizations and reports to communicate results to stakeholders and auditors.
- Work in agile squads to align models with business requirements and regulatory standards.
- Help define and operationalize group-wide MLOps practices (MLflow, CI/CD, deployment automation).
Requirements:
- Practical experience with Python, PySpark and strong SQL; familiarity with Delta Lake and MLflow is preferred.
- Strong statistical background (evaluation metrics, hypothesis testing, handling class imbalance).
- Experience with supervised learning: feature engineering, selection and hyperparameter tuning.
- Skills in data profiling, data-quality checks and data modelling for ML pipelines.
- Familiarity with Git and software delivery processes; strong communication and team collaboration skills.
- Very good English; German is advantageous. Motivated to document models for regulatory/audit purposes.