: To facilitate data-driven decision-making and improve company operations, the Data Scientist will develop execute cutting-edge AI and BI solutions. Drive data science projects, using sophisticated analytics will collaborate with other departments to design data strategies, build models, and embed those models models into software-driven business processes Data Analysis and Modelling: - Develop and deploy machine learning processes. - Conduct in-depth data analysis, data exploration, and data pre-processing to extract valuable
costing and invoicing processes, validating financial data, and analyzing performance metrics to drive operational materials, labor, and overheads are accurately captured and validated. Regularly review costing processes
Duties:
working on CMA and Loom advantageous. Duties: Capturing of listings onto the Propdata System Managing
working on CMA and Loom advantageous. Duties: Capturing of listings onto the Propdata System Managing
costing and invoicing processes, validating financial data, and analyzing performance metrics to drive operational materials, labor, and overheads are accurately captured and validated. Regularly review costing processes
costing and invoicing processes, validating financial data, and analyzing performance metrics to drive operational materials, labor, and overheads are accurately captured and validated. Regularly review costing processes
system.
Manages L&D data on system and conducts monthly data integrity audits.
Administer bursary students and business units.
Gather data and prepare information required for internal and
research and development Ensure data integrity by performing regular data validation and cleansing activities
processes by collecting, analysing, and reporting of data to the various business departments. Job Responsibilities: Responsibilities: Create written reports and/or data visualisations that business stakeholders can use to monitor across business KPIs Collect, sort, filter, analyse data and interpret the results to look for patterns and