4 of 4 Random Forest Jobs in the UK excluding London

times. Experience & knowledge Proven experience in data science and data analysis Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis Knowledge of data platforms, and data processing including batch and real‐time automation ...

management skills. Experience & Knowledge Proven experience in data science and data analysis. Good understanding of statistical techniques and their application, including GLMs, decision trees, random forest, boosting, natural language processing, distributions, clustering, simulation and scenario analysis. Knowledge of data platforms and data processing, including batch and real‐time ...

code tool. Docker, CI/CD and Git-based development. API monitoring, logging and production support. Working with models such as neural networks and random forests. Financial services or insurance experience would be useful, but it isn't essential. Strong ML and software engineering fundamentals matter more. Why consider ...

code tool. Docker, CI/CD and Git-based development. API monitoring, logging and production support. Working with models such as neural networks and random forests. Financial services or insurance experience would be useful, but it isn't essential. Strong ML and software engineering fundamentals matter more. Why consider ...