5 Random Forest Jobs in the UK

parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in more »

ML would be very beneficial. The role: Improving budgeting and forecasting systems through trend analysis and statistical modeling. Leveraging methods such as Linear Models, Random Forest etc Interrogating large data sets and applying feature analysis to identify key areas to maximise effectiveness inc. Permutation Importance. Utilising machine learning more »

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 algorithms (e.g. more »

issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types would be an advantage. Experience more »

user experience. As Senior Data Analyst, you will: Improve budgeting and forecasting systems through: Trend analysis and statistical modelling Methods like Linear Models and Random Forests Analyse large datasets by: Applying feature analysis Utilising Permutation Importance Implement machine learning methodologies: Utilise TensorFlow/keras Create and optimise neural networks. more »