Senior Data Scientist - Financial Crime
London, LND, GB
GBP 70K-85K (estimate) Senior-level Full Time Found 12d ago
Tasks
- Analyze large datasets with Python and PySpark
- Build analytics pipelines including ingestion, feature engineering, training, and validation
- Collaborate with teams to develop analytical solutions
- Design machine learning models for fraud detection
- Document models, methodologies, and assumptions
- Identify suspicious behaviors using statistical analysis, ML, pattern recognition
- Monitor and tune model performance
- Stay updated on financial crime trends and regulations
Perks/Benefits
- N/A
Skills/Tech-stack
Advanced Analytics | Data Pipeline Development | Data Processing | Data pipeline | Feature Engineering | Machine Learning | Model Deployment | Model Evaluation | NumPy | Pandas | Pattern Recognition | Pipeline Development | PySpark | Python | Scikit-learn | Statistical Analysis
Education
Bachelor's | Master's | PhD
Roles
Language: en |
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