verbal Desirable Advanced user in R or Python Use of analytical techniques, including supervised and unsupervised machine learning algorithms, such as regression modelling, decisiontrees and classification. Automation using SQL, VBA, and Microsoft apps Understanding of NHS data flows and information issues, including Data Standards, the Secondary Uses more »
Eastleigh, Hampshire, United Kingdom Hybrid / WFH Options
Platinum Recruitment Consultancy
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, DecisionTrees, Random Forests, Support Vector Machines and Neural Nets. Experience of Emblem and Radar. Experience in the use of programming language such as Matlab 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, decisiontrees, 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, decisiontrees, 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, decisiontrees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine learning in industrial settings. Experience mentoring junior more »
of Production (SoP) phases • Support Key Characteristic (KC) & Critical Item (CTI) cascade from Design & Manufacturing Engineering functions • Support APQP activities including DecisionTree's (DT), Applicability Matrix (AM), and Key Business • Deliverable (KBD) assessments as both deliverable owner & assessor more »
of contract damage recharge notifications, ensuring accuracy & facilitating revenue generation Action customer requests for end of contract collection of assets, utilising decisiontree 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 »
Security sustain and projects Supporting the application compliance process and governance framework for solution onboarding. Specifically supporting facilitation of the Control DecisionTree, 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 »
