Hand Model Jobs in South Africa

Data Modeler

Pretoria

 Annually

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• Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which
• Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure appropriate develop company Data Reference model (conceptual, logical, physical models, data flow, data catalogue, business Management models)
• Lead and perform oversight on the improvement of ISO 20022 data modelling capability

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Data Modeler Tshwane (pretoria)

 Kamo Placements Cc

South Africa

Reference: JHB001514-MS-1 Jobe Title: DATA MODELLER -FIN SURV Purpose of the job: To lead, define and and drive the improvement of data modelling and development of data maturity standards within Financial areas: Lead modelling design, implementation, and documentation of ISO20022 data modelling solutions which databases. Conduct an assessment on ISO 20022 data modelling and data development maturity levels within the processes, procedures and promote ISO 20022 data modelling awareness across the organisation to ensure appropriate

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Sql Database Administrator (dba)

South Africa

 Negotiable

ideal candidate will have a minimum of 5 years of hands-on experience in a multi-tiered and multi-client :

1. Hands-on Experience: Minimum of 5 years with hands-on experience in a multi-tiered

2. Cloud Migrations: Hands-on experience in cloud migrations, including On-prem

3. Data Modeling: Proficiency in data modeling, normalization, denormalization

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Junior Data Analyst Umhlanga

 Retsol Stores Ltd

Umhlanga Rocks

using sophisticated analytics and machine learning models to address difficult business challenges and generate departments to design data strategies, build models, and embed those models into software-driven business processes Analysis and Modelling: - Develop and deploy machine learning and artificial intelligence models and algorithms for modelling. - Work with data engineering teams to ensure data availability and quality. Model Evaluation - Evaluate model performance and fine-tune models for improved accuracy. - Deploy models in production

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Process Control & Development Automation Engineer NEW

Middelburg

 Negotiable Monthly

to the problems

Senior Data Scientist

Durban

 50000 Monthly

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Data Analysis and Modelling:

• Develop and deploy machine machine learning and artificial intelligence models and algorithms to extract insights, predict outcomes data pipelines to prepare and clean data for modelling
• Work with data engineering teams to ensure
  Model Evaluation and Deployment:
  
  • Evaluate model performance and and fine-tune models for improved accuracy
  • Deploy models in production environments and monitor

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Data Streaming Platform Engineer (advanced)

Menlyn

with the agreed hours of operation within a shift model

Data Platform Engineer Pretoria

 Workforce Staffing - Gauteng

Pretoria

with the agreed hours of operation within a shift model Usage of automation tools to monitor and observe software reliability in the supported environment Handing of incidents and changes in accordance with the Story's in-line with the organisational Agile Working Model Supports the Product owner to shape the Product

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Process Developer Middelburg NEW

 Staff Solutions

South Africa

causes to the problems Study the problem at the hand of the contributory causes and propose solutions 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

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Senior Data Scientist Kzn - North Coast

 Recruitech

South Africa

Analysis and Modelling: Develop and deploy machine learning and artificial intelligence models and algorithms data for modelling Work with data engineering teams to ensure data availability and quality Model Evaluation Deployment: Evaluate model performance and fine-tune models for improved accuracy Deploy models in production Implement best practices for model version control and management Ensure proven models are integrated into business requirement for human intervention to implement the model within their respective businesses Cross-Functional

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