Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
will be doing:
3-5 years experience in Navisworks and Revit 3D modelling and BIM 360, working on medium to large scale project set up.
Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align to the agreed architecture framework. Ensure data modelling deliverables are delivered according to project meet commitment to stakeholders. Ensure all data modelling activities and deliverables are aligned to the data modelling principles and standards Apply the approved tooling to create the data modelling deliverables the Enterprise Data Model (which is based on the IFW) as a standard for data model designs to leverage
We are looking for Call or Incident Coordinator to be based full time at our Midrand offices. The Incident and requests from initiation to completion. The Call or Incident Coordinator is responsible for successful coordination of a request until total closure. Adherence to call lifecycle processes and procedures. Ensure the phone times Ensure 98% of all calls are answered within 30 seconds. Update the call at least once a day with business and the customer Ensure the call classification matches the call description Ensure detailed and
adaptability to different personality types 1 year call centre experience in the igaming sector .
Key Responsibilities:
documenting and enhancing a range of predictive models across the entire credit life cycle. Responsibilities: in the development and application of predictive models across the entire credit life cycle. Conduct continuous research aimed at identifying predictors and enhancing model development practice and techniques. Monitor and Analysis, Data Science, Machine Learning, Predictive Modelling, Problem Solving & Analytical, Python Programming Understanding & knowledge of predictive modelling practices, performance standards & methodologies
scorecards, frameworks and algorithm tuning Expose models and scorecards to other systems (API/Queue) Schedule (automation) Ability to identify the most relevant modelling approach based on the type of problem and available random forest, etc) Ability to train and maintain models Data cleaning and pre-processing (Size, data distribution including raw data) Experience in correctly applying model performance approaches in the context of the training training approaches taken (Classification Models, Confusion Metrix, etc) Qualifications & Experience:
cutting-edge analytical insights, including predictive modeling. Design and implement programs to optimize communication operational excellence within our retention call center model. Leverage your consumer marketing experience ability to leverage segmentation and predictive modeling to drive results. If you're ready to make your