prices to meet budget requirements. Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; LogisticRegression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. More ❯
insurance pricing or a related analytical background. Proficient in using programming languages (e.g., SAS) to manipulate data. Experience with predictive modelling techniques such as LogisticRegression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines, and Neural Nets. Skilled in programming languages More ❯
the main concepts of Data Science/Machine Learning would be useful. We use a range of predictive analytics and machine learning methodologies, including logisticregression and cluster analysis, plus some predictive time series analysis. More ❯