1 to 25 of 32 Decision Tree Jobs in England

systems and multi-agent architecturesProficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code quality considerations, automated testing, source version control, optimization)Prior experience ...

plotly-dash, D3.js, or QlikSense Experience in SQL (any variant), MS Excel and VBA Experience in applying various analytical techniques (e.g. naïve bayes, decision trees, random forest, xgboost and k-means), to calculate problems such as predictive forecasting, prescriptive action, capacity planning. Experience of working in teams, managing ...

code using ML libraries and deep learning frameworks. Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results ...

outputs at scale. Visual Mapping: Working knowledge of workflow and diagramming tools (Figma, Lucidchart, Miro) for documenting evaluation logic, user journeys, and decision trees. Technical Intuition: A strong understanding of how digital systems work (and fail), and how to design measurements that catch failure early. Cross‐Functional Track ...

analysis, modelling and machine learning. Hands-on experience building and evaluating machine learning models. Confident statistical modelling skills across techniques such as GLMs, decision trees, random forest and NLP. Working knowledge of SQL, data structures, ETL and data integration. A degree in Mathematics, Statistics, Data Science or another ...

Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree ...

Experience: Previous experience within general insurance 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 Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree ...

tuning and deploying machine learning methods Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks ...

scales across problem types and tenants, using it to design, implement, and iterate models (embedding-based sequence encoders, temporal survival models, gradient-boosted decision trees) that predict key vulnerabilities in housing, health, and other social domains. Track developments in ML and frontier models, running structured experiments to bring ...

site and remotely Scale yourself through the practice Build the intellectual property that multiplies your reach, reference architectures, deployment automation, design templates, decision trees, and delivery accelerators Mentor and technically develop Solutions Architects and senior consultants across all theatres; raise the ceiling of the practice, not just your ...

where we go from here. THE PROBLEMInsurance distribution is changing. The incumbent channel - a price comparison site, a form, and a decision tree, has been dominant for 20 years - but that won't be the case forever. Not because chatbots are a game-changer in themselves ...

delivery journeys. Create operating artefacts which are practical, scalable and directly usable by practitioners. Consulting Method Design Codify expert consulting thinking into: Playbooks, Decision trees, Diagnostics, Frameworks, Hypothesis models, Red-team processes, Evidence standards. Move the organisation from templates and slideware toward a reusable intellectual architecture homed ...

delivery journeys. Create operating artefacts which are practical, scalable and directly usable by practitioners. Consulting Method Design Codify expert consulting thinking into: Playbooks, Decision trees, Diagnostics, Frameworks, Hypothesis models, Red-team processes, Evidence standards. Move the organisation from templates and slideware toward a reusable intellectual architecture homed ...

delivery journeys. Create operating artefacts which are practical, scalable and directly usable by practitioners. Consulting Method Design Codify expert consulting thinking into: Playbooks, Decision trees, Diagnostics, Frameworks, Hypothesis models, Red-team processes, Evidence standards. Move the organisation from templates and slideware toward a reusable intellectual architecture homed ...

classification, triage, investigation routing, tracking adoption and learning communication. Experience developing and assuring investigation quality and consistency including investigation standards, templates and decision trees. Experience building dashboards and reports for multiple audiences including executive, Programme teams and site construction teams. Desirable: Familiarity with Nuclear Site License Condition ...

population split analysis and reject analysis. This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems. We are looking for someone who is able … decisions and profitability. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients. Understanding of the regulatory landscape with respect to consumer credit ...

population split analysis and reject analysis. This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems. We are looking for someone who is able … decisions and profitability. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients. Understanding of the regulatory landscape with respect to consumer credit ...

population split analysis and reject analysis. This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems. We are looking for someone who is able … decisions and profitability. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making and also involves delivering analytical and commercial solutions for internal and external clients. Understanding of the regulatory landscape with respect to consumer credit ...

into actionable enterprise value. You will combine mathematical rigour, software development, and statistical storytelling to solve business problems, drive performance, and support strategic decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine … probability distributions. Machine Learning & Predictive Modelling: Experience building, validating, and productionising machine learning models (e.g., linear/logistic regression, time-series forecasting, decision trees). Advanced SQL: Excellent SQL skills to extract, transform, and profile large-scale datasets from cloud data marts. Causal Inference & Experimentation: Understanding of experimental ...

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 ...

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 ...

join a high‐performing team focused on turning complex data into actionable insights, delivering innovative solutions that drive business value and support strategic decision‐making. In this role, you’ll work both independently and collaboratively to apply data science techniques that drive meaningful outcomes. Responsibilities Scope … standards and regulations. Core Skills Professional Experience – Proven experience in a Data Science role, delivering data‐driven solutions and insights to support business decision‐making. Insurance industry experience is highly advantageous but not essential. Analytical & Technical Expertise – Strong analytical capability with proven experience in statistical modelling skills ...

next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role We are seeking a Senior Cloud & AI Security Enablement Engineer to provide … partnership with BISO/AppSec. Security Enablement and Workload Reduction: Convert recurring BISO/AppSec and Security Architecture questions into reusable guidance, decision trees, approved patterns, checklists, and self‐service workflows. Build lightweight intake and routing mechanisms that help determine when a request needs BISO review, AppSec review ...

next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Cloud & AI Security Enablement Engineer to provide … partnership with BISO/AppSec. Security Enablement and Workload Reduction Convert recurring BISO/AppSec and Security Architecture questions into reusable guidance, decision trees, approved patterns, checklists, and self-service workflows. Build lightweight intake and routing mechanisms that help determine when a request needs BISO review, AppSec review ...

next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights grounded in trusted data and established metrics. About the role: We are seeking a Senior Cloud & AI Security Enablement Engineer to provide … partnership with BISO/AppSec. Security Enablement and Workload Reduction Convert recurring BISO/AppSec and Security Architecture questions into reusable guidance, decision trees, approved patterns, checklists, and self‐service workflows. Build lightweight intake and routing mechanisms that help determine when a request needs BISO review, AppSec review ...