1 to 25 of 26 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 ...

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 ...

multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/ ...

multiple use cases as well as models. Train Machine Learning Models: Use machine learning and statistical modelling techniques such as recommendations, reinforcement learning, decision trees, Bayesian analysis, neural networks and transformers to develop and evaluate algorithms to address business use cases and/or to improve product/ ...

Translate the tacit knowledge of senior practitioners, including playbooks, negotiation positions, house style and drafting conventions, into structured artefacts such as prompts, schemas, decision trees and evaluation rubrics that production AI systems can execute against. Standards, Quality and EvaluationOwn prompt engineering standards, schema specifications and quality assurance protocols ...

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 ...

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 ...

Validate that models meet Reflection's election integrity, violent extremism, and fraud risk thresholds before open weights ship. Develop and maintain internal documentation, decision trees, and review guidelines that enable accurate, consistent enforcement at scale. Identify and report emerging misuse patterns and threat actor behavior to internal stakeholders ...

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 ...

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 ...

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 ...

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 ...

lifecycle strategies across the full customer journey from lead and MQL through to opportunity, revenue and advocacy Build sophisticated journey logic including triggers, decision trees, suppression and exit criteria Use customer data, intent, behaviour and propensity to deliver more personalised communications Develop and optimise cross-sell and customer ...

lifecycle strategies across the full customer journey from lead and MQL through to opportunity, revenue and advocacy Build sophisticated journey logic including triggers, decision trees, suppression and exit criteria Use customer data, intent, behaviour and propensity to deliver more personalised communications Develop and optimise cross-sell and customer ...

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 ...

ensuring consistent measurement and actionable insights across titles. Establish and evolve live service operating rhythms (goal setting, performance reviews, experimentation, roadmap planning, decision trees) across titles. Partner with finance and forecasting teams to refine revenue models, ensuring assumptions align with product strategy and core KPIs. Manage, develop ...

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 ...

Employ Python libraries such as NLTK, NumPy, Scikit-learn, and Pandas for data manipulation and model development. Implement AIML algorithms including Regression, Classification, Decision Trees, KNN, and K-Means. Build, train, and fine-tune AIML models to meet project requirements. Apply lifecycle principles and quality assurance methodologies throughout … Deployment experience with Docker and Kubernetes. Strong knowledge of Python libraries (NLTK, NumPy, Scikit-learn, Pandas). Understanding of AIML algorithms (Regression, Classification, Decision Trees, KNN, K-Means). Experience with automated testing and test automation frameworks. Good grasp of SQL. Experience working in an Agile environment. Excellent ...

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 ...

business language. Facilitate discussions between business SMEs, actuaries, developers, testers, architects, and delivery leads. Provide structured status updates, risk/issue summaries, and decision points to project leadership. Ensure business stakeholders understand how configured rules reflect their underwriting and pricing requirements. Testing, Validation, and GovernanceDefine and execute rule … sheets, lookup tables, factors, and calculation flows. Good understanding of XML and structured configuration files. Ability to understand rule hierarchies, conditional logic, validations, decision trees, and calculation dependencies. Experience with configuration testing, regression testing, and price-output reconciliation. Familiarity with JIRA, Confluence, Azure DevOps, or similar delivery tools. ...

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 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 ...