Control Technology Specialist at Anglo American

Job Description:

As a Control Technology Specialist, you will have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building, and implementing models, using/creating algorithms, and creating/running simulations.

Not limited to:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Mine and analyse data to drive optimization and improvement
• Develop custom data models and algorithms to apply to data sets
• Selecting features, building, and optimizing classifiers using machine learning techniques
• Conduct ad-hoc analysis and presenting results to stakeholder
• Processing, cleansing, and verifying the integrity of data used for analysis
• Identify environmental and social risks triggered by or impacting on discipline and propose mitigation techniques to be incorporated in the asset risk management approach
• Manage compliance of the teams within work area with external (legislative, regulatory, permitting) local requirements as a minimum level of site performance

This position is at a Band 6 level in the Control & Instrument group and reports into the Lead Control Engineer.

Qualifications:

• BEng, B.Tech or BSc Engineering degree in Chemical/Metallurgy/Electrical or Computer Science or relevant

Your experience should include:

• 10 years’ experience in relevant control and instrumentation environment
• Experience in Line Management of technical teams
• Experience in minerals processing covering concentrating, smelting and refining would be preferred
• Extensive background in data mining and statistical analysis
• Excellent understanding of machine learning techniques and algorithms (covering regression, classification, and clustering) and their real-world advantages/drawbacks
• Experience using statistical computer languages (MATLAB, Python, R, etc.) to manipulate data and draw insights from large data sets – excellence in at least one of these is highly desirable
• Knowledge and experience in advanced statistical and data mining techniques including neural networks, random forests, boosting, trees, deep learning, etc.
• Proficiency in using relational databases, with Microsoft SQL Server being preferred
• Proficiency in using process historians, with OSIsoft PI being preferred
• Good exploratory data analysis skills covering data collection, processing, analysis, statistical modelling, and visualisation
• Good scripting and programming skill

Closing Date: 29th, June 2022