1 to 11 of 11 Decision Tree Jobs in the UK

of Production (SoP) phases Support Key Characteristic (KC) & Critical Item (CTI) cascade from Design & Manufacturing Engineering functions Support APQP activities including; Decision Tree's (DT), Applicability Matrix (AM), and Key Business Deliverable (KBD) assessments as both deliverable owner & assessor Guidant Global (BH4SF) is acting as an Employment more »

you in the role Some experience in applying a wide range of statistical and machine learning techniques e g hypothesis testing regression clustering decision trees machine learning models Experience of data driven storytelling Proven ability to explain data analysis insights and capabilities to audiences with differing technical backgrounds more »

key areas. Key Responsibilities: Batch Workload Integration: File Transfer Artefacts Data Consumption: Business Intelligence - Advisory Report Business Analytics - Alteryx Data Science - Decision Tree Foundational Data Management: Data Quality Management - Tool Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse … quality management, metadata management, and master data management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration more »

live environments. Provide insights into current and future pricing performance using MI and modelling results. Coordinate pricing decisions and implementation across teams and decision-making bodies. Inform and influence senior management and heads of departments. Qualifications: Degree in a numerical discipline or equivalent. Experience in insurance pricing or … related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to convey statistical concepts to non-statistical audiences. Self-motivated with excellent planning more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »

building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest, XGBoost etc.- Basic understanding of Neural network and deep learning models). Possess experience … verbal communications; able to communicate with a wide range of people. Strong leadership, analytical and communication skills with a passion for data-driven decision making and for establishing best practice. Line management experience - able to give feedback and mentor more junior colleagues. The Cognizant community: We are a more »

of contract damage recharge notifications, ensuring accuracy & facilitating revenue generation Action customer requests for end of contract collection of assets, utilising decision tree tool to ensure correct allocation of assets to remarketing channels Day-to-day management of logistic suppliers Producing sales quotations, subsequent paperwork, and any more »

language e.g. SAS 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. Experience of Emblem and Radar. Experience in the use of programming language such as Matlab more »

Security sustain and projects Supporting the application compliance process and governance framework for solution onboarding. Specifically supporting facilitation of the Control Decision Tree, application controls and supporting IT application owners to supply adequate evidence whilst providing guidance on required remediation. Sustaining the IT Software Asset Management Standard more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »

driven business transformation journey Develop tools for monitoring and analysing model performance and data precision. Present model findings and offer recommendations to key decision-makers and stakeholders The candidate: MSc/PhD in Data Science, Computer Science, Financial Engineering, Statistics, or related fields. 5+ years of industry experience … including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »