6 of 6 Decision Tree Jobs in the UK excluding London

manipulation Demonstrated ability to write clean, efficient code. Proficiency in Python or C# Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch Demonstrable experience in being able to quickly learn and adapt ...

Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values, confidence intervals, Bayesian testing etc.). Data Visualization: Hands‐on experience building interactive dashboards using tools like Power ...

Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross ...

translating those developments into practical insight for the firm. Help drive codifying legal and operational knowledge into scalable agentic workflows (e.g. playbooks, checklists, decision trees and AI-supported workflows), enabling consistent, repeatable and efficient delivery across the firm. Challenge existing processes and ways of working, driving continuous improvement ...

platform, workspaces, and cabinet structures. Legal Tech & Workflow Logic: Strong background in legal technology, document assembly, and translating complex legal processes into structured decision trees. Problem-Solving Skills: Ability to quickly step into existing systems, audit workflows, and keep projects moving independently. Communication: Excellent stakeholder management skills ...

pivotal to the delivery of high quality efficient healthcare provision. The Analytics Team provides high quality, robust information to operational, clinical and corporate decision makers through the use of analytics solutions, primarily Power BI, including dashboards, semantic models and self-service analytics capabilities. It is the main role … Datalake, ML Ops, Data Factory and Databricks Broad understanding of current NHS, national, regional, and local context Knowledge of statistical techniques (regression, classification, decision trees,supervised/unsupervised, explanatory/predictive models), and how and when to practically apply them Excellent written and verbal communication skills including presentation ...