20 of 20 Decision Tree Jobs in England

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 ...

multi-agent architectures Proficiency 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 working ...

multi-agent architectures Proficiency 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 working ...

multi-agent architectures Proficiency 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 working ...

multi-agent architectures Proficiency 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 working ...

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 ...

logic Knowledge of Python or R is advantageous but not mandatory Knowledge of statistical modelling techniques such as logistic regression, clustering, linear regression, decision trees etc is a plus. Knowledge of Fraud Prevention, Anti-Money Laundering or Responsible Gambling is not necessary but advantageous. Degree preferred in Mathematics ...

automation workflows for audit tasks such as planning, documentation, and evidence review. Predictive Analytics & Machine Learning Experiment with ML algorithms (e.g., K-Means, Decision Trees, Isolation Forest, ARIMA) for anomaly detection, risk assessment, and forecasting. Collaborate with technical teams to integrate predictive models into audit processes. Audit Integration ...

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 ...

Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross ...

Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection, and time series forecasting. Working understanding of model evaluation and explainability concepts, e.g. overfitting, bias, cross ...

translating those developments into practical insight for the firm. Help drive codifying legal and operational knowledge into scalable agentic workflows (e.g. playbooks, checklists, decision trees and AI-supported workflows), enabling consistent, repeatable and efficient delivery across the firm. Challenge existing processes and ways of working, driving continuous improvement ...

manual activities and opportunities for automation Gather requirements from stakeholders and translate business challenges into scalable solutions Design and implement AI-enabled workflows, decision trees and automation tools Develop prompts, templates and process frameworks to improve operational efficiency Support change adoption through training, documentation and user engagement Measure ...

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 ...

Skills Strong background in service design/process engineering Experience with workflow modeling (BPMN, orchestration, automation tools) Ability to define logical flows and decision trees Understanding of AI-assisted workflows and agent behavior modeling Experience with ITSM processes (incident, change, problem) Nice-to-Have Skills Familiarity with workflow ...

their events get created, which fields flow from where, the known quirks, and what "normal" looks like. Deliver training - live sessions, runbooks, decision trees - pitched at the people supporting live events when you're not online. 4. Complex client issues Sit inside the Support escalation path ...

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 ...

functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we’re looking for the following education, experience and skills Bachelor's degree in quantitative area Minimum … z2bz0 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 required Minimum of 8-10+ years of experience developing program/project plans and leading programs/ ...

science best-practice e.g. Git/Docker/cloud deployment KEY REQUIREMENTS: Experience with applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science … detail Ability to work independently and as part of a team Understanding of classical machine learning concepts and principles (e.g. xgboost, regression, decision trees) INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 mins live coding task Stage ...

levels of our organization and helps to achieve our vision of being number one in the industries we serve. Our unique high-speed decision-making process supports our acute focus on developing superior products and meeting high customer expectations. We view our winning culture as a competitive advantage … More than a technician, you're a strategist: someone who shapes policy, educates stakeholders, and mentors teams to embed security thinking into every decision—without strangling velocity. Reporting to the Head of Infrastructure, this role will work closely with security, cloud, systems and application teams to build ...