6 Logistic Regression Jobs in the UK

cloud platform (GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning more »

this page KEYWORDS: Credit Risk Analytics, Credit Risk Models, Impairment, Capital, Basel, AIRB, Scorecards, Decision Science, Stress Testing, SAL, SQL, PD, LGD, EAD, IFRS9, Logistic Regression, Decision Tree, Probability of Default, Exposure of Default, Loss Given Default more »

or related analytical background. Highly skilled in the use of programming language e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. Experience of Emblem and more »

or use the apply feature on this page KEYWORDS: Credit Risk Analytics, Credit Risk Modelling, Scorecards, IFRS9, AIRB, LGD, EAD, PD, Forecasting, Decision Science, Logistic Regression, SAS, SQL, R, Application Scorecard, Behavioral Scoring more »

Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. Ability to convey complex information through data visualisation. Ability to manage different responsibilities and more »

testing and measurement strategies such as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logistic regression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious more »