and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play a crucial in designing, implementing, and maintaining data models that facilitate efficient storage, retrieval, and requirements and translate them into robust data models.
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What you’ll do:models to support business requirements and data analysis
requirements and translate them into effective data models.
Exciting opportunity for a BI Analyst Modeller. The primary responsibility of the IT Management Information
science projects analytics and machine learning models to address business challenges and generate actionable build models, and embed models into software-driven business processes Data Analysis and Modeling: Develop for modeling Ensure data availability and quality Model Evaluation and Deployment: Evaluate model performance performance and fine-tune models for improved accuracy Deploy models and monitor their ongoing performance Implement best practices for model version control and management Integrate proven models into business processes
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Data Analysis and Modelling:
clients in form of solution conceptualisation, modelling, design, and implementation of client focused coordination, project management, commercial modelling, solution implementation, solution stabilisation financial decision-making through advanced analytical modelling, using large sets of data. • The secondary focus solutions using appropriate fleet and network design modelling. • Driving “cost to serve” optimisation by principals or supply chain environment • Advanced Excel modelling and analytical skills • Advanced skills in Power
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Communicating prioritised data-driven analyses, modelling, and algorithms. The incumbent manage complex quantitative analytics, statistical analyses, modelling, and machine learning algorithms, as well as data Sustaining High-Quality Data Analyses, Analytics, Modelling, and Algorithms Conducting exploratory data analyses advanced data models (incl. predictive models) and algorithms Using analyses and models to Find and/or inferences Using machine learning for predictive modelling, classification, and clustering Performing &
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
financial decision-making through advanced analytical modelling, using large sets of data.