modelling and data mining techniques i.e. Regression, • Random Forest, Boosting, Trees, text mining, social network
applying strong expertise in machine learning, data mining and conducting information retrieval within a new making. Identify appropriate models / algorithms to mine large datasets and develop rich insights into member
a focus on Electrical or IT), and prior onsite mining experience, particularly in mineral processing Engineering (Electrical or IT oriented). Onsite Mining experience (Mineral processing beneficial). Software
business questions. Where applicable, undertaking data mining and developing and documenting robust and scalable implement appropriate data visualisation formats. Assist with mapping and documentation of requirements
Responsibilities: Configure and deploy CI/CD tools. Assist with the design of the overall architecture. Collaborate algorithms and data structures. Experience in Finance, Mining, or Payroll domains. Excellent written and spoken
consistency. Utilise statistical techniques and data mining algorithms to analyse large datasets and extract priorities. Provide analytical support and insights to assist in the development and implementation of business
as robotis process automation (RPA) or process mining. Basic or intermediate SQL.
specializes in providing software solutions to the mining industry, based in the heart of Johannesburg North
control of fuel and high-value liquids to major mines, refineries, and distribution terminals across six
developing, and optimizing software solutions for the mining business and will collaborate closely with cross-functional