About the position
Seeking a Data Scientist to join the Process division, supporting enterprise data integration, advanced analytics, and predictive maintenance initiatives.
Key Requirements
- Degree in Computer Science, Engineering, or related field
- 2-3+ years in a data science environment, preferably within mining, mineral processing, or supply chain
- Strong SQL skills (T-SQL, M code) and experience with relational databases (PostgreSQL, SQL Server)
- Experience with ETL/ELT pipelines (Azure Data Factory, Synapse Pipelines)
- Knowledge of Kimball dimensional modelling (star and snowflake schemas)
- Proficiency in Python (primary), R optional; experience with ML frameworks such as Scikit-learn
- Time series forecasting (ARIMA, Prophet, LSTM) and predictive maintenance modelling (failure prediction, anomaly detection, RUL estimation)
- Power BI experience (data modelling, DAX, M code, dashboards)
- Familiarity with Azure services, data warehouses, and Lakehouse architectures
- Strong communication, stakeholder engagement, and cross-functional collaboration skills
- Strategic thinking, adaptability, and project management abilities
Should you meet the requirements for this position, please email your CV to [Email Address Removed]. You can also contact the IT team on [Phone Number Removed]; or visit our website at [URL Removed]
NOTE: When replying to the advert, include the reference number in the subject line. Correspondence will only be conducted with short-listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
Desired Skills:
