22 of 22 Permanent Decision Tree Jobs in London

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Google products (primarily Google Sheets, Google Slides and Google Data Studio) Confident in statistical modelling (understands and can apply algorithms, regression models and decision trees) Ability to produce machine learning models Experience with BI tools (e.g. Oracle Hyperion) or purpose built reporting cubes is an advantage A background ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

recommender systems use cases in our games. The work involves tabular machine learning, including neural networks and approaches such as gradient-boosted decision trees. You'll focus on understanding the data, developing features and improving the models, rather than primarily owning production deployment.You'll work toward defined near … TensorFlow, XGBoost, CatBoost or scikit-learn could all be relevant; no single framework is required.Experience designing features and labels, choosing metrics for the decision a model makes and judging when offline results warrant an A/B test.Proficiency in SQL and the ability to write efficient queries ...

structured, executable logic our product and engineering team can build directly into the platform Prompt Engineering: Write, test, and refine the prompts and decision logic that drive our AI audit workflows Documentation Quality: Ensure audit documentation quality aligns with ISA (UK) 230 and related documentation requirements, and that … leverage, experiment with, or build new tools, with relentless curiosity for how AI and innovation can improve work and outcomes Ability to sketch decision trees and define structured, unambiguous process outputs; comfortable writing and iterating on AI prompts No programming background required, but you think in processes, dependencies ...