6 of 6 Support Vector Machines Jobs in the UK

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 ❯

and numerical methods Experience with statistical and machine learning models, such as regression-based models (e.g., logistic regression, linear regression, negative binomial regression), tree-based models (e.g., random forests), support vector machines, PCA, clustering models, matrix factorization, deep learning, etc Experience using statistical and machine learning models to contribute to company growth efforts, impacting revenue and other … references from previous employers Working at Sporty The top-down mentality at Sporty is high performance based, meaning we trust you to do your job with an emphasis on support to help you achieve, grow and de-block any issues when they're in your way. Generally employees can choose their own hours, as long as they are collaborating … and doing stand-ups etc. The emphasis is really on results. As we are a highly structured and established company we are able to offer the security and support of a global business with the allure of a startup environment. Sporty is independently managed and financed, meaning we don't have arbitrary shareholder or VC targets to cater to. More ❯

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 ❯

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 ❯

datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation and continuous improvement in data practices … Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. More ❯

datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation and continuous improvement in data practices … or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical findings to both technical and non-technical audiences. More ❯