Senior Data Scientist
Tasks
- Analyze feature drift
- Build ML models for AML transaction monitoring
- Calibrate thresholds
- Create system design documentation
- Engineer feature store features
- Maintain batch training pipelines
- Monitor detection performance metrics
- Perform backtesting
- Produce model cards and audit documentation
- Recommend feature and logic improvements
- Run sensitivity tests on synthetic datasets
- Translate AML typologies into alerting logic
Perks/Benefits
- Annual L and D budget
- Corporate pension scheme
- Kita placement assistance
- Paid time off
- Referral bonus
- Sabbatical
- Subsidised office lunches
- Urban sports club subsidy
- Virtual stock options
Skills/Tech-stack
Backtesting | Batch Training | Cause analysis | Data Engineering | Data Lineage | Data Quality | Feature Engineering | Feature Store | Machine Learning | Model Drift | Model Monitoring | Python | Root Cause Analysis | Root cause | Unsupervised machine learning | Version control
Education
N/A
Roles
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