18 of 18 Decision Tree Jobs in England

patterns such as GraphRAG and agentic RAG to reduce hallucination and improve factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural ...

Learning, or a related field is required. Preferred Skills Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like linear regression, decision trees, SVM, etc. Experience with Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding ...

XGBoost, LightGBM, CatBoost) as the default for tabular prediction. Recognising when simpler, more interpretable models, such as regularised logistic regression or well‐constrained decision trees, are the better choice. Applying clustering and segmentation techniques (e.g. k‐means, hierarchical or sequence‐based clustering) to characterise populations. Model Craft Strong ...

require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will contribute to the team ...

require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing ...

with major enterprises – including tier-1 banks and leading accountancy firms – across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver … monorepo – identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products – including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross‐cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. ...

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 ...

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/ ...

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 ...

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 ...

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 ...

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. You’ll work with … succeed in the role: 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, and data ...

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 ...

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 ...

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 ...

RESPONSIBILITIES Leadership & Management • Intelligence layer: customer profile schema, ICP models, lead scoring models & intent models • Automation - journey framework, trigger architecture, AI workflows & decision trees • Commercial - pipeline acceleration, lead quality improvements, revenue attribution & personalisation performance Functional Responsibilities • You will own ICP modelling, persona development, behaviour modelling, lead scoring, intent … business. • You will design AI-driven orchestration systems where journeys never really end - each interaction shaping and improving what comes next through intelligent decision trees. • You will build the logic behind AI-powered content decisioning, automating how email content, CTAs, offers, send timing and sequencing are selected based ...