17 of 17 Remote/Hybrid Decision Tree Jobs in the UK

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 ...

journeys, ensuring customer needs, operational requirements and risk considerations are balanced effectively.Supporting the codification of claims philosophy into digital tools, including decision tree-based rules engines and other decision support capabilities.Working with claims operations, product, risk, compliance, technology and data colleagues to translate technical claims … technology expert to apply. Full training will be provided on the digital tools used in the role, including decision tree-based rules engines and related digital decision support capabilities. What matters most is your claims expertise, customer focus and desire to implement our technical claims ...

journeys, ensuring customer needs, operational requirements and risk considerations are balanced effectively.Supporting the codification of claims philosophy into digital tools, including decision tree-based rules engines and other decision support capabilities.Working with claims operations, product, risk, compliance, technology and data colleagues to translate technical claims … technology expert to apply. Full training will be provided on the digital tools used in the role, including decision tree-based rules engines and related digital decision support capabilities. What matters most is your claims expertise, customer focus and desire to implement our technical claims ...

journeys, ensuring customer needs, operational requirements and risk considerations are balanced effectively.Supporting the codification of claims philosophy into digital tools, including decision tree-based rules engines and other decision support capabilities.Working with claims operations, product, risk, compliance, technology and data colleagues to translate technical claims … technology expert to apply. Full training will be provided on the digital tools used in the role, including decision tree-based rules engines and related digital decision support capabilities. What matters most is your claims expertise, customer focus and desire to implement our technical claims ...

journeys, ensuring customer needs, operational requirements and risk considerations are balanced effectively.Supporting the codification of claims philosophy into digital tools, including decision tree-based rules engines and other decision support capabilities.Working with claims operations, product, risk, compliance, technology and data colleagues to translate technical claims … technology expert to apply. Full training will be provided on the digital tools used in the role, including decision tree-based rules engines and related digital decision support capabilities. What matters most is your claims expertise, customer focus and desire to implement our technical claims ...

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/system ...

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 … security requirements.Improving internal tooling and developer experience across the monorepo.Working on the symbolic reasoning engine that powers our products – including decision tree evaluation, rule generation, and knowledge graph construction.You'll be successful here if......you have strong proficiency in Python, including writing well-typed, well-tested code ...

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 … across the 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.You ...

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. ...

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/ ...

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 ...

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 ...

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 ...

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 ...