20 of 20 Decision Tree Jobs in the UK

decisions that solve real business problems Maintain best-practice standards relating to data science techniques, coding and analytics Apply data science methods including regression (linear, logistic, multiple, multivariate), decision trees, segmentation and experimentation to optimise opportunities and business decisions. Manage all aspects of data science project lifecycle and deliver within planned timelines Maintain industry recognised best practice including More ❯

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

discipline Proficiency in Python and familiarity with ML libraries such as Scikit-learn, TensorFlow, or PyTorch Strong understanding of basic machine learning concepts and algorithms (e.g. regression, classification, decision trees) Good grasp of data structures, algorithms, and programming fundamentals. Analytical mindset and strong problem-solving skills Excellent communication skills and a team-oriented attitude Nice to Have (But More ❯

Foundry, SageMaker or Vertex AI. IaC - Bicep, ARM, Terraform Have a good understanding of different machine learning techniques and ability to explain the methods in detail (regression, clustering, decision trees, reinforcement learning, gradient boosting, CNN, RNN, LSTM, Attention Models, Encoder and Decoder, Transformers, Vector semantics) Previous experience in developing Gen AI applications. Ability to communicate technical concepts 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 ❯

seniority through delivery, influence and thought leadership What you’ll do Run workshops to capture requirements and map legal processes Configure and implement solutions using automation, decision-tree logic and dashboards Explore AI and emerging tech and assess benefits and risks Deliver training, demos and user support to drive adoption Maintain documentation and support standard operating procedures 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 ❯

to breakdown APP cases into consumable chunks to support recovery and stabilisation Your responsibilities APP analysis (focus on supporting case remediation), capture challenges and build a decision tree Operationally complete remediation action or package up and hand off to the BAU operational team. Leverage AI to document process and procedures, simulate process and support target operating model 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 ❯

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 ❯

party data. Act as incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation. Partner with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies. Build feedback loops from casework to inform product, engineering, and policy improvements. Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and … investigation, privacy/legal operations, compliance, or other risk/integrity domains ideally in a global or high-growth tech environment. Leverage OpenAI technology to enhance workflows, improve decision-making, and scale operational impact. Bring deep domain expertise in your specialization area and familiarity with relevant legal, policy, and technical frameworks. Have a track record of scaling operations More ❯