Manchester, England, United Kingdom Hybrid / WFH Options
Roku
as models Model training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, LogisticRegression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level more »
Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logisticregression, decision trees, random forest, unsupervised methods) is preferred. Ability to convey complex information through data visualisation. Ability to manage different responsibilities and more »
Guildford, Surrey, United Kingdom Hybrid / WFH Options
Nigel Frank International
We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logisticregression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI * Working with big data technologiesMust more »
testing and measurement strategies such as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logisticregression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious more »
win outcomes e.g. 3rd party providers, clients, etc.Manage multiple projects/initiatives, delivering within timescales & budgetsDevelop statistical models using the latest analytical techniques e.g. regression, AI, ML, etc.Utilise all available data sources to ensure solutions are optimised e.g. CRA data, transactional data, client data, data from partners, etc.Adhere to … credit risk, collections, fraud, etc.Highly numerate with a relevant degree 2:1 or above or similar experience.Extensive use of advanced modelling techniques & methods e.g. logistic and linear regression, machine learning, etc.Experience of managing high performing analytical teams including goal setting, performance management, training, development & appraisalsExtensive experience of using more »