progressive work environment with significant opportunities for growth. They are looking to make a lot of progress in the applications around Data Science and MachineLearning within the industry. Immediate work will cover projects Forecasting and Predictive Modelling. ROLE: Lead forecasting projects independently from start to finish Utilize … machinelearning techniques to anticipate trends and inform strategic decisions Collaborate closely with data engineers and business partners to gather requirements and drive insights Undertake projects such as forecasting margin after discount, warehouse usage, product demand etc. Be actively involved in the planning of new stores. REQUIREMENTS: Strong more »
The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities Analyse raw data: assessing quality, cleansing, and structuring … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machinelearning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization more »
developing and test custom control systems Knowledge of dynamometer control systems, motor control systems or engine control systems Experience with advanced control strategies or machinelearning approaches (e.g., fuzzy logic, adaptive systems, recursive neural networks, convolutional neural networks) Analytical approach to developing control algorithms Extensive knowledge with a more »
and business outcomes. These systems currently support approximately 200 internal users and 4,000+ external users. Furthermore, the NHSCFA are investigating the use of MachineLearning/Data Science to facilitate the future identification and prevention of fraud against the NHS. The Head of Technology will be responsible more »