1 to 25 of 29 Permanent Decision Tree Jobs in the UK

development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep More ❯

through Git, and applying other best practices to technical projects Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning, LLMs) Experience of using different More ❯

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 good quantitative More ❯

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 More ❯

models, including large language models (LLMs) such as GPT and similar architectures, in production environments. Develop solutions leveraging traditional AI techniques such as decision trees, clustering, and regression analysis to complement advanced AI workflows Implement and manage CI/CD pipelines for ML workflows, including testing, validation, and More ❯

on delivering actionable insights and driving business growth. Technical Expertise: Expert knowledge of machine learning and applied statistics (e.g.,regression, clustering methodologies, GLMs, decision trees s). Proficiency in R (tidyverse) or Python (numpy, pandas). Experience with SQL Experience with cloud platforms such as AWS, Azure, or More ❯

or PhD in a relevant field. Proficient in crafting machine learning models, your expertise spans neural networks including transformer models, Large Language Models, decision trees, and other traditional machine learning models, translating conceptual ideas into actual solutions. Fluent in some of these machine learning frameworks such as SKLearn More ❯

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 good quantitative More ❯

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 More ❯

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 More ❯

with credit cards; familiarity working with third-party fraud detection tools. Technical Skills : Proficiency in SQL or Python for data analysis; familiarity with decision trees or other predictive modelling is a plus Domain Knowledge : Familiarity with applicable laws and regulations that impact Zendable's business including BSA, OFAC More ❯

of 3rd party products. Key Skills & Experience: Expert in data science and machine learning, including a range of techniques such as supervised (e.g. decision trees, random forests), unsupervised (e.g. clustering) , and deep learning. Expert knowledge of exploratory data analysis and statistical analysis of large datasets. Solid experience in More ❯

etc. AIML Frameworks: MLFlow, KubeFlow, BentoML, TensorFlow etc. AIML Development: PyTorch, Jupyter Notebooks, XGBoost, Tensorflow etc. AIML Models: Linear/Logistic Regression, KNN, Decision Trees, Anomaly Detection, LLMs, Generative Models (PALM, GPT3/4), Entity Extraction etc. Inside IR35 contract, rates to reflect More ❯

and maintain sophisticated models, prioritising a range of data science techniques Advance the adoption of data science & statistical techniques Communicate results to key decision makers across the business for action based on the results of pricing analysis Collaborate with peers in pricing, underwriting and data science will generate … 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 good quantitative More ❯

across pricing & underwriting. Research and leverage new and existing data sources; capturing and explaining trends with innovative data features. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in … 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 More ❯

across pricing & underwriting. Research and leverage new and existing data sources; capturing and explaining trends with innovative data features. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in … 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 More ❯

across pricing & underwriting. Research and leverage new and existing data sources; capturing and explaining trends with innovative data features. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in … 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 More ❯

across pricing & underwriting. Research and leverage new and existing data sources; capturing and explaining trends with innovative data features. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in … 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 More ❯

across pricing & underwriting. Research and leverage new and existing data sources; capturing and explaining trends with innovative data features. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in … 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 More ❯

across pricing & underwriting. Research and leverage new and existing data sources; capturing and explaining trends with innovative data features. Communicate results to key decision makers across the business for action based on the results of pricing analysis. Review observed & expected performance of key accounts. Collaborate with peers in … 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 More ❯

across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Communicate results to key decision makers across the business for action based on the results of pricing analysis Review observed & expected performance of key accounts Collaborate with peers in … 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 good quantitative More ❯

across pricing & underwriting Research and leverage new and existing data sources; capturing and explaining trends with innovative data features Communicate results to key decision makers across the business for action based on the results of pricing analysis Review observed & expected performance of key accounts Collaborate with peers in … 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 good quantitative More ❯

and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality assurance Manage, coach and mentor team members, driving a culture … and issues in motor or home 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. Knowledge of the technical differences between different packages for some of these model types would be an More ❯

cutting-edge technology, strategic partnerships, and innovative SaaS-based solutions, the CoE will enhance digital capabilities, future-proof workforces, and enable data-driven decision-making. Joining our CoE presents a unique opportunity to be at the forefront of major national initiatives, working within a high-impact, collaborative environment. … journey workflows, including application, screening, interview scheduling, and hiring stages. Configure case types, stages, steps, SLAs, escalations, and routing rules. Develop and maintain decision tables, decision trees, and declarative rules for eligibility checks, notifications, and dynamic forms. Implement and configure Pega connectors and services to integrate More ❯

cutting-edge technology, strategic partnerships, and innovative SaaS-based solutions, the CoE will enhance digital capabilities, future-proof workforces, and enable data-driven decision-making. Joining our CoE presents a unique opportunity to be at the forefront of major national initiatives, working within a high-impact, collaborative environment. … journey workflows, including application, screening, interview scheduling, and hiring stages. Configure case types, stages, steps, SLAs, escalations, and routing rules. Develop and maintain decision tables, decision trees, and declarative rules for eligibility checks, notifications, and dynamic forms. Implement and configure Pega connectors and services to integrate More ❯