understanding of software development life cycle models. Knowledge of both Agile and traditional project communicating those requirements and solutions in a fashion that satisfies both the client and Direct Transact
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 Feature Engineering, and Model Evaluation. DUTIES: Data Analysis and Modeling – Develop and deploy Machine Machine Learning and Artificial Intelligence models and algorithms to extract insights, predict outcomes data for modeling. Work with Data Engineering teams to ensure data availability and quality. Model Evaluation
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
statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore questions. o Design advanced analytics (quantitative) models that will answer key business questions or discover increased revenue or reduced costs. o Analyse model results, interpret findings and communicate these based on model results. o Run and automate regular reporting and operationalise successful models. o Establish
statistical analysis, forecasting, predictive modelling, simulation and optimisation to discover trends statistical analysis, forecasting, predictive modelling, simulation and optimisation. to Identify, explore questions. o Design advanced analytics (quantitative) models that will answer key business questions or discover increased revenue or reduced costs. o Analyse model results, interpret findings and communicate these based on model results. o Run and automate regular reporting and operationalise successful models. o Establish
BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify Documentation up to date and the maintenance of semantic models Qualifications: Grade 12/Senior Certificate Tertiary BI (Including, but not limited to Ingestion, Modelling, Transformations and Cleansing, and DAX Expressions) and predictions. Aid in creating internal audit models and reports to identify risks and risk areas Identify
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 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 all levels of the organisation Business Process Modelling/Engineering based on BPMN Business writing skills
Development Life Cycle models (Waterfall, Rapid Application Development, Spiral Model, Agile, etc.) required
and Datawarehouse Architecture development Data modelling including solid ETL, designing and building packages Warehousing / BI Development Experience with data modeling, data anlaysis, data profiling, data mapping and
responsibilities assigned in the Agile Working Model (AWM) Charter ADVANTAGEOUS SKILLS REQUIREMENTS: experience Architecture: Cloud, On-prem, hybrid, data modelling, SW-Architecture QUALIFICATIONS / EXPERIENCE NEEDED: