2 of 2 Permanent Logistic Regression Jobs in the North of England

Toolkit Using gradient boosting (e.g. XGBoost, LightGBM, CatBoost) as the default for tabular prediction. Recognising when simpler, more interpretable models, such as regularised logistic regression or well‐constrained decision trees, are the better choice. Applying clustering and segmentation techniques (e.g. k‐means, hierarchical or sequence‐based clustering ...

areas: data science; epidemiology; administrative dataset analysis; maternal health; statistical analysis of routinely collected health care or clinical trial datasets using techniques such as logistic regression, imputation of missing data, multilevel modelling. . Application Interview Presentation Strong knowledge of research methods and techniques appropriate to the discipline ...