2 of 2 Permanent Random Forest Jobs in London

quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar. Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP). Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering. Strong command ...

Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud ...