designs and Caesar piping stress analysis and modelling. Design, develop, and oversee the implementation designs and Caesar piping stress analysis and modelling. Provide technical guidance and support to junior designs and Caesar piping stress analysis and modelling. Excellent communication, leadership, and interpersonal skills Ability to work independently, as well as part of a team, and prioritize and manage multiple tasks
business requirements, through a structured process, modeling, validating and translating it into business requirement contract subject to renewal in a hybrid working model Business Analysis: Investigate operational requirements complete and performing testing within allocated time. Assist in the continuous development and improvement requirements . Negotiate acceptance criteria. Plan own modelling activities, selecting appropriate techniques and choice of the modelling approach to be used Obtain input from and communicates modelling results to senior
Data consumers transform data to a common data model for reporting and data analysis, and to provide Bricks) Data Modelling and Schema Build: In collaboration with Data Modellers, create data models and database Engineers, Data Modelers, Data Scientistsm Scrum Masers and Data Warehouse teams as part of a squad to warehouse, integration patterns, batch and real time jobs, streaming and API's. API Development: Build Programming (Python, Java, SQL) Data Analysis and Data Modelling Data Pipelines and ETL tools (Ab Initio, ADB,
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal optimal contact information and outreach times. Data Enrichment and Analysis : Oversee data enrichment efforts problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
involves developing and refining rules and statistical models to enhance contractability and improve recovery optimization. Rule and Model Development : Create and manage rules and models for identifying optimal optimal contact information and outreach times. Data Enrichment and Analysis : Oversee data enrichment efforts problem-solving abilities, experience with data modelling and data warehousing, knowledge of data quality
This is a full-time on-site role for a Renewable Energy Engineer based in Johannesburg. You will be involved and stakeholders. Learning and operating energy modelling tools such as OSeMOSYS, PyPSA, PVsyst, Helioscope designs and specifications, design reviews, energy modelling, analyses and simulations, technical reports, mind-set and desire to work with analytics / modelling, modelling of renewable energy and battery energy storage
a deep understanding of device mix, financial modelling, and strategic financial planning to support our and stakeholders. Financial Modelling Develop and maintain financial models to forecast revenue, costs based on device sales and ATM transactions. Ensure timely and accurate commission payments, adhering to company channel growth and expansion. Conduct financial modelling and scenario analysis to support decision-making services industry. Strong proficiency in financial modelling, analysis, and reporting. Excellent analytical
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies industry is a plus. • Strong Organizational and Time Management Skills - The ideal candidate must have
statistical models and algorithms for actuarial assessments • Use of predictive modelling techniques to healthcare analytics. • Implement machine learning models to improve risk assessment and decision support healthcare and actuarial space, AI, and predictive modelling. • Contribute to research and development projects plus. • A keen interest in AI and predictive modelling, with the ability to apply these technologies industry is a plus. • Strong Organizational and Time Management Skills - The ideal candidate must have
organisation is seeking a highly skilled Manager of Risk Modelling and Credit Analysis to join their team. This role implementing a comprehensive risk modelling framework and strategy to ensure risk models enhance business operations the risk and underwriting models strategy. - Lead and manage the risk modelling team. - Oversee data preparation - Build robust statistical models. - Monitor scorecards and other model performance metrics. Requirements: