DemandTrendPermanent Support Vector Machines Jobs in England

2 of 2 DemandTrendPermanent Support Vector Machines Jobs in England

Senior Pricing Analyst - Strategic

London, United Kingdom
Hybrid / WFH Options
Ageas
capability and technical excellence, in order to successfully compete in the home insurance market and as such you will be at the forefront in delivering this strategy. You will support the monitoring of performance and contribute to the profitable development of Ageas' Household portfolio, through control of pricing. The Senior Pricing Analyst will provide detailed analysis of data using … Run data for modelling, pricing and monitoring Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring. Development and maintenance of pricing models and support for their deployment Carry out pricing analyses and prepare options for senior stakeholders Carry out deployment/send instructions for rate releases and review of rates into rate engine … 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 Highly numerate More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Data Scientist ML Engineer

Birmingham, Staffordshire, United Kingdom
Hybrid / WFH Options
Experis - ManpowerGroup
maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: