Applied AI Data Scientist
Tasks
- Analyze medication ordering data
- Assess model fairness
- Build machine learning models
- Conduct calibration analysis
- Define safety rules for model usage
- Detect data drift
- Document and communicate model results
- Engineer adherence risk features
- Engineer behavioral features
- Engineer temporal features
- Evaluate model performance
- Monitor model performance
- Package and deploy models
- Set retraining criteria
- Synchronize medication modelling
- Validate machine learning models
Perks/Benefits
- Buy and sell holiday
- CPD training
- Discounted gym memberships
- Employee assistance programme
- Enhanced maternity pay
- Enhanced paternity pay
- Hybrid work
- Long service awards
- Mental health support
- Occupational sick pay
- Pension
- Private healthcare insurance
Skills/Tech-stack
Azure Machine Learning | Calibration | Classification | Cross-validation | Data Drift | Data Drift Detection | Drift Detection | Ensemble learning | Feature Engineering | Feature importance | LightGBM | Machine Learning | Matplotlib | Model Monitoring | NumPy | Pandas | Python | Random Forests | Regression | Retraining | SHAP | SQL | Scikit-learn | Seaborn | Survival analysis | Time to Event | XGBoost
Education
N/A
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