Applied AI Data Scientist
Tasks
- Analyze large scale medication ordering data
- Assess model fairness across patient cohorts
- Build and operate machine learning models
- Collaborate with clinical stakeholders on safety rules
- Communicate clinical and commercial value of models
- Define retraining criteria
- Deploy models to production with MLOps
- Design machine learning models for medication behavior
- Engineer behavioural features from adherence signals
- Engineer temporal features from patient data
- Evaluate models using cross validation and calibration
- Monitor model performance and detect drift
- Validate and document machine learning models
Perks/Benefits
- Annual leave
- Buy and sell holiday
- CPD training
- Cycle to work scheme
- Discounted gym memberships
- Employee assistance programme
- Employee discounts
- Enhanced maternity pay
- Enhanced paternity pay
- Green Car Scheme
- Hybrid working
- Mental health support
- Occupational sick pay
- Pension
- Private healthcare insurance
- Professional registration fees paid
Skills/Tech-stack
Azure ML | Calibration | Cross-validation | Drift Detection | Feature Engineering | LightGBM | Machine Learning | Model Fairness | Model Interpretability | Model Monitoring | NumPy | Pandas | Python | Random Forest | SHAP | SQL | Scikit-learn | Survival analysis | Time Series | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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