6 of 6 Remote/Hybrid Decision Tree Jobs in London

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 ...

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 ...

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 ...

Doing 1. Translate Legal Work into Product Logic Analyse real user conversations (employee-side employment law queries) Identify patterns, edge cases, and decision points Convert legal reasoning into structured workflows (e.g. decision trees, logic flows) 2. Prompts & AI Help design and refine prompts used in legal … help assess applications: machines check facts, people make judgement calls, and you can ask for a human review of any decision at any point. #J-18808-Ljbffr ...