1 to 25 of 42 Decision Tree Jobs in the UK

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 ❯

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 ❯

. 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 ❯

. 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 ❯

in market research . This is a mid-level position for someone who thrives on solving problems, building robust analytical solutions, and delivering high-quality insights that inform decision-making at the highest level. In this role, you’ll work on a broad range of exciting projects and be part of a company operating at the cutting edge … as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and large language models (LLMs) is a plus but not required. Skills & Attributes: Excellent attention to More ❯

in market research . This is a mid-level position for someone who thrives on solving problems, building robust analytical solutions, and delivering high-quality insights that inform decision-making at the highest level. In this role, you'll work on a broad range of exciting projects and be part of a company operating at the cutting edge … as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and large language models (LLMs) is a plus but not required. Skills & Attributes: Excellent attention to 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 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 ❯

in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their algorithms and functioning. Hyperparameter tuning for existing … analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In-depth knowledge of machine learning algorithms, particularly tree-based models, and their application to structured data Familiarity with SQL and experience working with relational databases. Python/R programming experience (pandas, scikit-learn, matplotlib, etc) Excellent problem More ❯

in class risk prevention solutions Your key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their algorithms and functioning. Hyperparameter tuning for existing … analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In-depth knowledge of machine learning algorithms, particularly tree-based models, and their application to structured data Familiarity with SQL and experience working with relational databases. Python/R programming experience (pandas, scikit-learn, matplotlib, etc) Excellent problem More ❯

in class risk prevention solutions. Your Key responsibilities Develop a thorough understanding of the data science lifecycle, including data exploration, preprocessing, modelling, validation, and deployment. Design, build, and maintain tree-based predictive models, such as decision trees, random forests, and gradient-boosted trees, with a low-level understanding of their algorithms and functioning. Hyperparameter tuning for existing … analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. In-depth knowledge of machine learning algorithms, particularly tree-based models, and their application to structured data. Familiarity with SQL and experience working with relational databases. Python/R programming experience (pandas, scikit-learn, matplotlib, etc) Excellent problem 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 ❯

mine insight & present data Build 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 insight to help make commercial … budget requirements. Key Skills and 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 degree (Mathematics, Statistics, Engineering, Physics More ❯

mine insight & present data Build 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 insight to help make commercial … budget requirements. Key Skills and 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 degree (Mathematics, Statistics, Engineering, Physics More ❯

/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure More ❯

of data science & statistical techniques 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 pricing, underwriting and data science … team members Key Skills and 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 degree (Mathematics, Statistics, Engineering, Physics More ❯

of data science & statistical techniques 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 pricing, underwriting and data science … team members Key Skills and 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 degree (Mathematics, Statistics, Engineering, Physics 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 ❯

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 ❯

a balanced view of current and future pricing performance by combining MI, modelling results and company targets Maintenance of records to coordinate pricing decisions and implementation across teams, decision making bodies and implementation pathways Execution, development and project management across all stages of the price control cycle as required. Inform and influence peers in team and across Ageas … and/or statistical packages e.g. actuarial pricing software Experience in SOME of the following predictive modelling techniques e.g.Logistic Regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets Experienced in the use of a programming language (e.g. R, Matlab, Python or Octave) Experience of using Emblem and Radar More ❯

SAP/Oracle or similar ERP systems for product, sales and pricing data Proficiency in Python, with some knowledge of querying databases Knowledge of machine learning techniques (clustering, decision trees, neutral networks etc.) and their real-world advantages/drawbacks The make-up of the ideal Data Scientist candidate will include strong problem-solving, confident communication skills and More ❯

tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. More ❯

tasks. Manage the full model development lifecycle, including data preparation, exploratory analysis, model training, validation, and deployment. Develop and fine-tune predictive algorithms such as: Classification: Logistic Regression, Decision Trees, Random Forests. Regression: Linear Models, Gradient Boosting, Neural Networks, K-Nearest Neighbors. Build models for customer behavior prediction and risk assessment in insurance, particularly in underwriting and claims. More ❯