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Data Modeller
Cyberpro Consulting
Johannesburg
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
share this job on whatsappData Modeller
Johannesburg
Monthly
will be doing:
- Design data models that meet the business requirements and align to agreed architecture framework.
- Ensure data modelling deliverables are delivered according to project commitment to stakeholders.
- Ensure all data modelling activities and deliverables are aligned to the the development methodology and to the data modelling principles and standards
- Apply the approved to create the data modelling deliverables.
- Adopt the Enterprise Data Model (which is based on
Data Modeller Johannesburg
Cyberpro ConsultingJohannesburg
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
Actuarial Specialist
Johannesburg
700 000
Data Scientist –centurion– R500k Up To R700k Per Annum
Centurion
700000 frameworks and algorithm tuning
Qualifications
Business Process Specialist Centurion
Asie PersonnelCenturion
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)
Bi Analyst Midrand
Asie PersonnelMidrand
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
Senior Data Scientist Johannesburg
E-merge It RecruitmentJohannesburg
1000000 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
Data Analyst Bryanston - Hybrid
It NotionSouth Africa
R750 000 - R960 000 focus on Prescriptive Analytics and Predictive Modelling. ● Engage with internal business clients with ● Create algorithms and build machine learning models to enhance product offerings and solve business systems to track model performance. ● Presentation of data science opportunities and model outcomes to a ● Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP
Data Scientist South Africa And Europe
Dante Deo Consulting LtdSouth Africa
teams to understand business problems, develop models that drives automation, predictive analytics, advanced external data providers. Design and implement data modelling, data mining, and machine learning algorithms maintain predictive and prescriptive analytical models to support decision-making and drive business value and data transformation to prepare data for modelling and analysis. Utilize data visualization techniques audiences. Continuously evaluate and optimize existing models, algorithms, and data sources to improve accuracy
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