22 of 22 Decision Tree Jobs in England

models, ICPs, personas and predictive scoring frameworks. Design AI-driven customer journeys across email, web, paid media, SMS and CRM. Develop automation workflows, decision trees and AI-powered orchestration models. Build autonomous AI agents to improve marketing productivity and scalability. Drive dynamic personalisation using behavioural, intent and commercial ...

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 ...

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 ...

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 ...

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 ...

demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy.* Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance.* Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness.* Coach ...

demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy. Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance. Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness. Coach ...

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 ...

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 ...

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 ...

generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insightsBe a champion for a data-driven, decision-making cultureInterested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree … quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is requiredMinimum of 8-10+ years of experience developing program/project ...

Review, draft and update customer-facing terms, disclosures, partner communications, internal guidance and other legal materials. Support the Initiative Review Process and RAPID decision-making model by gathering information, conducting initial legal triage and risk assessment, coordinating input from relevant LPA specialists, documenting decisions and tracking mitigations. … regulatory guidance, enforcement outcomes and agreed legal advice into product processes, controls, customer communications and training. Develop scalable legal resources, including FAQs, playbooks, decision trees, checklists and training materials, so that teams can self-serve on recurring lower-risk questions. Help improve ways of working between Product ...

economics of the asset we're booking, and drive changes where neededDesign automated decisioning logic — translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the marketHelp shape funding strategy … knowledge of MCOB and FCA requirements for second charge lendingExperience designing for scale and automation — you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case ...

economics of the asset we’re booking, and drive changes where needed Design automated decisioning logic — translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the market Help shape … MCOB and FCA requirements for second charge lending Experience designing for scale and automation — you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case review ...

economics of the asset were booking, and drive changes where needed Design automated decisioning logic translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the market Help shape funding … MCOB and FCA requirements for second charge lending Experience designing for scale and automation you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case review ...

economics of the asset were booking, and drive changes where needed Design automated decisioning logic translate credit policy into executable rules and decision trees that can be embedded in the platform, working with engineering to build the quickest, most automated secured product on the market Help shape funding … MCOB and FCA requirements for second charge lending Experience designing for scale and automation you understand how to structure underwriting policy as decision logic, scorecards, and rules that can be executed programmatically. You think in terms of tens of thousands of applications, not manual case-by-case review ...