Data Scientist

SUMMARY:
Are you passionate about turning complex data into actionable insights?
We are seeking a Data Scientist to join our high-performing team in a dynamic environment focused on mining, mineral processing, and supply chain operations. You’ll drive business-critical decisions through advanced analytics, machine learning, and integrated business intelligence.

Location: Kempton Park
Position: Permanent

POSITION INFO:
Minimum Requirements
Qualification:

• Bachelor's Degree in Computer Science, Engineering, or a related field

• 1–3 years’ experience in a data science role
• Exposure to mining, mineral processing, or supply chain environments is preferred

• Consolidate organizational data into unified, accessible architectures using modern warehousing/lakehouse methods

• Build and maintain analytics dashboards for departments such as Finance, Supply Chain, Customer Service, Engineering, and Projects

• Design and deploy models for predictive maintenance, anomaly detection, and RUL estimation

• Work closely with stakeholders to solve business problems through data-driven solutions

• Translate complex analytical insights into impactful, actionable narratives for various audiences

• Microsoft Fabric (OneLake, Lakehouse, DW) – Advantageous
• ETL/ELT tools (Azure Data Factory, Synapse Pipelines)
• Dimensional modelling (Star/Snowflake schema)
• SQL (T-SQL, M code), Data Gateway knowledge
• PostgreSQL / SQL Server

• Python (required), R/Spark (beneficial)
• Time Series Forecasting (ARIMA, Prophet, LSTM)
• Predictive Maintenance Techniques
• Scikit-learn, Azure ML, Azure Functions/AKS

• Power BI (DAX, M code, dashboards)
• Root cause analysis, ad hoc reporting

• REST APIs, Azure App Services
• Microservices and web-based ML integration

• Inventory optimization, demand planning
• EOQ, reorder point, ABC analysis