11 Decision Tree Jobs in the UK

of contract damage recharge notifications, ensuring accuracy & facilitating revenue generation Action customer requests for end of contract collection of assets, utilising decision tree tool to ensure correct allocation of assets to remarketing channels Day-to-day management of logistic suppliers Producing sales quotations, subsequent paperwork, and any more »

scikit-learn etc.) or highly transferable skill analogues Experience developing and evaluating models using at least one of the following technologies: —- Gradient-boosted decision trees (e.g. Catboost, XGBoost) —- Reinforcement learning —- Recommendation systems —- Large language models Able to train, tune and evaluate models and prepare them for production deployment more »

well as models Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low more »

Risk Models, Impairment, Capital, Basel, AIRB, Scorecards, Decision Science, Stress Testing, SAL, SQL, PD, LGD, EAD, IFRS9, Logistic Regression, Decision Tree, Probability of Default, Exposure of Default, Loss Given Default more »

language e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. Experience of Emblem and Radar. Experience in the use of programming language such as Matlab more »

ethical use of AI, ensuring compliance with internal policies and external regulations. Deep understanding of traditional AI techniques: regression, classification, forecasting, clustering (e.g., Decision Trees, XGBoost, ARIMA, etc.) Strong understanding of programmatic LLM risk controls: output format validation, output context validation, content moderation etc. There is a lot more »

manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. Ability to convey complex information through data visualisation. Ability to manage different responsibilities and adapt to changing more »

Security sustain and projects Supporting the application compliance process and governance framework for solution onboarding. Specifically supporting facilitation of the Control Decision Tree, application controls and supporting IT application owners to supply adequate evidence whilst providing guidance on required remediation. Sustaining the IT Software Asset Management Standard more »

Security sustain and projects Supporting the application compliance process and governance framework for solution onboarding. Specifically supporting facilitation of the Control Decision Tree, application controls and supporting IT application owners to supply adequate evidence whilst providing guidance on required remediation. Sustaining the IT Software Asset Management Standard more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »