24 of 24 Permanent Decision Tree Jobs in England

proactively contributing to the design, 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 learning) Experience of working collaboratively More ❯

proactively contributing to the design, 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 computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of More ❯

. Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards more complex modelling of the data using innovative methods. Knowledge of Machine Learning: Classification (Random Forest, Decision Trees, KNN), Regression. Modelling (linear, sparse, logistic), Principal Component Analysis (PCA, PCR), clustering (K-means). Profile: Strong analytical skills, ability to generate strong insights and build convincing stories. More ❯

Key Skills and Experience: Previous experience within Personal Lines Pricing is advantageous 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 degree (Mathematics, Statistics, Engineering, Physics More ❯

analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and More ❯

analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and More ❯

analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and More ❯

analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and More ❯

analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and More ❯

products and features that often 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 to the team (or teams More ❯

products and features that often 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 to the team (or teams More ❯

products and features that often 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 to the team (or teams More ❯

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are … think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for … related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to More ❯

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are … think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for … related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication skills and able to More ❯

Responsibilities: Strategic Ownership : Define and drive the vision, roadmap and implementation of the orchestration stack, ensuring alignment with broader digital procurement strategy. Framework Design : Develop detailed orchestration frameworks, decision trees, and process flows, with a strong focus on user experience, policy alignment, and scalable deployment. Integration Leadership : Lead integration across intake-to-pay touchpoints (e.g. guided buying, sourcing More ❯

Responsibilities: Strategic Ownership : Define and drive the vision, roadmap and implementation of the orchestration stack, ensuring alignment with broader digital procurement strategy. Framework Design : Develop detailed orchestration frameworks, decision trees, and process flows, with a strong focus on user experience, policy alignment, and scalable deployment. Integration Leadership : Lead integration across intake-to-pay touchpoints (e.g. guided buying, sourcing More ❯

platforms or tools Log and manage system-related issues and enhancements, driving continuous improvement in technology usage Actively contribute to the refinement of ESCC SOPs, escalation workflows, and decision trees in response to evolving threat types and business requirements Risk, Compliance & Intelligence Integration Ensure GDPR, health & safety, and regulatory compliance across all ESCC data processing, surveillance, and incident More ❯

shape the brands of tomorrow by better understanding people everywhere. About the job As a Senior Data Scientist, you will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business … control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on experience with cloud platforms such as AWS or Azure. We're … shape the brands of tomorrow by better understanding people everywhere. About the job As a Senior Data Scientist, you will play a pivotal role in driving data-driven decision-making and shaping strategic initiatives. Your expertise will directly impact the organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business More ❯

deep knowledge of standardizing methods and machinery at the development stage to de-skill and streamline production. You’ll help translate this logic into standardized digital templates and decision trees. Capacity Planning Support (Real-world expertise essential) Use your understanding of chassis development, machine layout planning, and manpower allocation to guide how our tool models capacity and seasonality. More ❯

data analytics and insights initiatives. Reporting to the Head of FP&A - Systems & Controls, you’ll promote a data-driven culture and provide strategic insights to inform key decision-making at the executive level. You’ll define and lead FP&A’s MI strategy, embed advanced analytics and data science into performance reporting, and act as a strategic … and embrace change as an opportunity to grow. Technical skills required: Extensive experience in data management, MI analysis, and insights, with application of statistical methods to support strategic decision making, this doesn’t have to be from a Finance background. Experience working with machine learning techniques (e.g., clustering, decision trees, neural networks). Experience using programming More ❯

techniques across pricing & underwriting Research 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 of development and excellence across … including knowledge of current trends 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 advantage. Experience in statistical and More ❯

benefit the business, conduct ongoing cost negotiations. Create or update all service documentation and communicate changes across affected teams. Documentation to include procedural documentation and process flows and decision trees. Execute data analysis on the vendor to ensure service is operating effectively for the business. Create a global overview of vendor charges. Execute data analysis on the charges … in Microsoft office. Has used project tools such as Jira, Confluence, Miro, BI, ThoughtSpot or similar. COMPETENCIES Managing customer service standards and performance Developing people and teams Leadership Decision making Business acumen Resilience and drive Communication and stakeholder management CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of More ❯

benefit the business, conduct ongoing cost negotiations. Create or update all service documentation and communicate changes across affected teams. Documentation to include procedural documentation and process flows and decision trees. Execute data analysis on the vendor to ensure service is operating effectively for the business. Create a global overview of vendor charges. Execute data analysis on the charges … in Microsoft office. Has used project tools such as Jira, Confluence, Miro, BI, ThoughtSpot or similar. COMPETENCIES Managing customer service standards and performance Developing people and teams Leadership Decision making Business acumen Resilience and drive Communication and stakeholder management CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of More ❯

benefit the business, conduct ongoing cost negotiations. Create or update all service documentation and communicate changes across affected teams. Documentation to include procedural documentation and process flows and decision trees. Execute data analysis on the vendor to ensure service is operating effectively for the business. Create a global overview of vendor charges. Execute data analysis on the charges … in Microsoft office. Has used project tools such as Jira, Confluence, Miro, BI, ThoughtSpot or similar. COMPETENCIES Managing customer service standards and performance Developing people and teams Leadership Decision making Business acumen Resilience and drive Communication and stakeholder management CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of More ❯