machine learning, statistical and mathematical models to solve business problems and enable the effective data by utilising cutting-edge technologies and model data preparation.
Responsibilities:
procedures, products and advanced mathematical models that provide analytical support and interpret insights machine learning models; develop cutting-edge data science and machine learning models that drive business science, communicating data, domain modelling, predictive modelling, advanced analytics, Research and AI science and machine learning models to business problems, ensuring that models are integrated into products
machine learning, statistical and mathematical models to solve business problems and enable the effective technologies and model data preparation. Responsibilities: Build statistical models Manage the development Define strategy to enable business use of predictive models Manage controls to enable risk monitoring Implement validate the effectiveness of the models Monitoring/Calibration of models Effective self-management and teamwork
efficiency and availability. Investigate all modelling and control system failures and associated deviations systems: Heat transfer modelling (finite element heat transfer Level 2 model) and combustion systems Rolling modelling (Level 2): Speed, temperature, forces, torques and flatness control models (including principle models for heating and rolling technology. Knowledge of how these Level 2 models are automatically
Business process modelling and documentation. Coordinate and quality assure process modelling by divisional business formal process modelling tool, such as Visio or Aris, and Business Process Model and Notation (BPMN)
he Data and BI Analyst will be assisting the modelling and analytics team with all analytics, reporting business on key business metrics and assist the modelling team to drive strategic decision-making and better enable quantitative analysis for statistical and modelling team. Explore data to understand its structure trends, and correlations. Design and build data models, dashboards, and reports using business intelligence
Experience a diverse environment with a fantastic Hybrid model and benefits . Requirements: 3-year related degree implementation, and operations Understanding of business models and metrics Expert knowledge of complex IT environments security, business) Knowledge of retail industry data models Knowledge of compliance and IT governance Project Acumen and Business Analytics Ability to analyze, model and interpret data. If you have a passion for analyzing
to the development of cutting-edge programs and models that shape the organization's asset/liability strategy to hedging and capital modelling Implement the development of actuarial models, systems and processes related is most ideal Strong technical skills in modelling and/or coding as well as computer programming
to the development of cutting-edge programs and models that shape the organization's asset/liability strategy to hedging and capital modelling Implement the development of actuarial models, systems and processes related is most ideal Strong technical skills in modelling and/or coding as well as computer programming
Locations: Centurion l Johannesburg l Cape Town Working model: Hybrid Specification: The Data Engineer will have for data analysis, data manipulation, and data modelling. The candidate will be responsible for understanding Experience in data mining, large scale data modelling and business requirements gathering/analysis. Experience implementing data modelling methodologies like Dimensional Modelling and / or Data Vault. Working information to discover trends and patterns. Data Modelling (Relational and Star Schema). Database design