Current Vacancies at Exxaro Resources

PURPOSE:

• To assume duties and responsibilities of a safety officer in terms of regulation 2.19.1 of Mine Health and Safety Act.
• To coordinate and implement legal requirements and safety initiatives.
• To conduct and facilitate incident investigations.

Minimum Requirements    
QUALIFICATIONS:

• N Dip: Safety Management (Essential/Minimum)
• Certificate First Line Management (Essential/Minimum)
• B Tech (Relevant) (Recommended/Desirable)

EXPERIENCE: 

• 3-5 years Relevant safety operations within a heavy industry, mining and production environment (Essential/Minimum) Operational

REQUIREMENTS: 

• Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
• Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)
• MHS Act Reg 2.17.1 (Safety Officer) (Essential/Minimum)

Duties & Responsibilities    
Compliance, Governance and Assurance    

• Adhere to relevant legislation and Business Unit (BU) requirements
• Manage risk by assessing liabilities, reporting and monitoring standards and attending to problems
• Create awareness, conduct Hazard Identification and Risk Assessment (HIRA) interventions and address unsafe practices in timeous manner
• Implement and maintain an audit structure
• Conduct internal and external safety and environmental audits
• Compile statistical and legal monthly reports
• Ensure adherence to International Organisational Standards (ISO)/Occupational Health and Safety Act (OHSA) requirements (Management of Change)

Customer and Client Relationship Management    

• Maintain good relationships with customers
• Understand customer needs and provide solutions
• Respond to customer queries as per Service Level Agreements (SLA’s)
• Address all customer complaints as per service management policies and guidelines
• Continuously endeavour to improve service delivery
• Ensure customer satisfaction is maintained within the service management targets
• Safety, Health and Environmental (SHE) Representative empowerment (mentoring and coaching)
• Influence BU safety culture through Visible Felt Leadership (VFL)

SHEC Operations    

• Effective contractor management in terms of quality assurance
• Input into SHE induction material and Personal Protection Equipment (PPE) requirements
• Coach internal staff as per corporate programmes
• Facilitate and monitor compliance in terms of training requirements
• Provide an expert advisory service to line and Head, SHE and present statistical findings and performance
• Chair relevant SHE Representative meetings, when required
• Facilitate HIRA process
• Conduct inspections as per legislation
• Incident investigation process as per Chief Safety Officer instruction
• Assist in the evaluation of discipline-specific standards, principles and practice to enable planning, design and implementation of safe outcomes that support business strategy
• Provide specialist safety training and support, as per legislative requirements
• Ensure effective management of sphere of control in terms of geographical area
• Effectively manage interdepartmental relationships
• Timeous closure of Department of Mineral Resources and Department of Labour directives, governance regarding Business Unit non-conformance
• Facilitating incident investigations outside of sphere of control/responsibility

Safe and Healthy Work Environment    

• Adhere to all health/safety practices and promote good housekeeping on an ongoing basis
• Appointment under section 74 and regulation 2.17.1 of the Mine Health and Safety Act

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Job Description

• You will collaborate with, provide guidance and support data scientists, data engineers, and IM teams across the business on MLOps, helping to continuously develop best practices standards for ML/AI development, deployment workflows, and architecture patterns for both cloud and on-premises solutions.
• Your efforts will ensure that production model solutions are reliable, scalable, and deliver tangible business value.
• Please refer to the advert for additional in-depth details on the core deliverables of the role.

Minimum Requirements    
QUALIFICATIONS:

• BSc Information Technology (Essential/Minimum or)
• BSc Computer Science (Essential/Minimum or)
• BEng Engineering (Relevant) (Essential/Minimum or)
• BSc Engineering (Essential/Minimum)

EXPERIENCE: 

• 3-5 years Solid knowledge of core concepts/ fundamentals in one or more related fields of the following fields: AI, machine / deep learning algorithms and probabilistic methods.
• Proven experience in designing, building, and deploying ML/AI models and analytics automation processes.
• Proven experience in cloud-native development using platforms like AWS, Google Cloud, or Azure for developing and deploying machine learning models, with preference on Azure.
• Solid knowledge and experience in systems design and software architecture; machine learning frameworks and libraries such as TensorFlow, MLFlow, Keras, PyTorch and Scikit-learn. Experience in cloud-native development, including DevOps, continuous delivery, microservices, and containers.
• Cloud certification will be advantageous. Extensive experience in applying principles, theories, concepts, and techniques in programming languages with good experience in developing production-quality Python modules / frameworks being preferred. Experience in infrastructure as code such as Terraform, Ansible, ARM or other relevant IaC frameworks; Experience in version control practices using the likes of Git.
• Solid understanding of Agile development methodologies.
• Proficient in web technologies, including web services (REST) and web servers, modern HTML/CSS, and familiarity with at least one of the following (or related) programming languages: PHP, ASP.NET, or JavaScript. Strong understanding of how web applications work, including security, session management, and best development practices.
• Good knowledge of relational databases for data storage and retrieval. Experience with deployment of large language model technologies will be advantageous.
• Extensive experience in applying (Essential/Minimum) Operational

REQUIREMENTS: 

• Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
• Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

Duties & Responsibilities    
Ideal Candidate Profile (Includes but not limited to):

Ability to:

• Apply best software engineering practices to design, develop and manage robust, scalable, and maintainable machine learning and AI code and systems. 
• Development and maintenance of pipelines to support ML/AI workflows that scale development to production. 
• Automate, test, and refactor data science model code into functional ML products consumable by the business. 
• Collaborate with data scientists, data engineers/architects, and solution architects to integrate machine learning models into production systems following best practice deployment strategies suitable for various modelling use-cases. 
• Provide technical guidance to data scientists and architects on various deployment (cloud and on-prem) strategies for machine learning and AI models. 
• Continuously monitor the performance of deployed models to ensure accuracy and reliability. 
• Identify improvement areas in existing machine learning systems and implement enhancements to optimize ML systems functionality. 
• Conduct research to stay updated with the latest advancements in machine learning and artificial intelligence systems and prototype new approaches for machine learning systems. 
• Contribute to the development of best practices and standards for ML/AI end-to-end development and deployment architecture.

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Job Description

• As a Data Scientist, you will lead the design and deployment of intelligent analytical solutions to inform both tactical and strategic decision-making at the Integrated Operations Centre (IOC) level.
• Your role will include performing in-depth data analytics utilizing statistical methodologies, predictive modeling, and optimization algorithms to identify patterns, uncover opportunities, and mitigate risks across the operation's value chain.
• You will construct and implement complex machine learning models and simulation frameworks to solve high-impact business challenges, from pit to port. Additionally, you will drive the adoption of data-driven approaches, and effectively translate complex analytical insights into actionable strategies for the business.

Minimum Requirements    
QUALIFICATIONS:

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, engineering, computer science or related discipline (Essential/Minimum or)

EXPERIENCE: 

• 4+ years of extensive experience in applied data science, with a focus on practical and commercial analytics in mining or closely related industries.
• Technical expertise in leveraging advanced machine learning frameworks, libraries, and techniques for model development, deployment, and optimization.
• Demonstrated success in driving complex business integration projects that harness end-to-end data science techniques to enhance operational efficiency, improve decision-making, and drive innovation.
• Adept at developing and validating robust machine learning and AI algorithms, with a strong understanding of domain-specific challenges. 

REQUIREMENTS: 

• Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
• Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

Duties & Responsibilities    
Ideal Candidate Profile (Includes but not limited to):

Ability to:

• Develop and lead the application of data science modelling at an Integrated Operations Centre level to deliver insight-driven tactical and strategic value creation. 
• Provide statistical analysis, forecasting, predictive modelling, prescriptive analytics, simulation and optimisation to discover trends, opportunities and threats. 
• Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement/optimisation at the business unit. 
• Use data to support and optimise decision making, including predictive decision-making across the business value chain from the pit right through to the port.
• Ensure the availability of approved resources (skills, funding, technology, etc.) for modelling initiatives, driving change and influencing a wide range of stakeholders. 
• Communicate and present findings and recommendations to management and business. 
• Coach junior data scientists if required.

go to method of application »

Job Description

• As a Data Scientist, you will lead the design and deployment of intelligent analytical solutions to inform both tactical and strategic decision-making at the Integrated Operations Centre (IOC) level.
• Your role will include performing in-depth data analytics utilizing statistical methodologies, predictive modeling, and optimization algorithms to identify patterns, uncover opportunities, and mitigate risks across the operation's value chain.
• You will construct and implement complex machine learning models and simulation frameworks to solve high-impact business challenges, from pit to port. Additionally, you will drive the adoption of data-driven approaches, and effectively translate complex analytical insights into actionable strategies for the business.

Minimum Requirements    
QUALIFICATIONS:

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, engineering, computer science or related discipline (Essential/Minimum or)

EXPERIENCE: 

• 4+ years of extensive experience in applied data science, with a focus on practical and commercial analytics in mining or closely related industries.
• Technical expertise in leveraging advanced machine learning frameworks, libraries, and techniques for model development, deployment, and optimization.
• Demonstrated success in driving complex business integration projects that harness end-to-end data science techniques to enhance operational efficiency, improve decision-making, and drive innovation.
• Adept at developing and validating robust machine learning and AI algorithms, with a strong understanding of domain-specific challenges. 

REQUIREMENTS: 

• Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
• Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

Duties & Responsibilities    
Ideal Candidate Profile (Includes but not limited to):

Ability to:

• Develop and lead the application of data science modelling at an Integrated Operations Centre level to deliver insight-driven tactical and strategic value creation. 
• Provide statistical analysis, forecasting, predictive modelling, prescriptive analytics, simulation and optimisation to discover trends, opportunities and threats. 
• Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement/optimisation at the business unit. 
• Use data to support and optimise decision making, including predictive decision-making across the business value chain from the pit right through to the port.
• Ensure the availability of approved resources (skills, funding, technology, etc.) for modelling initiatives, driving change and influencing a wide range of stakeholders. 
• Communicate and present findings and recommendations to management and business. 
• Coach junior data scientists if required.

go to method of application »

Job Description

• As a Data Scientist, you will lead the design and deployment of intelligent analytical solutions to inform both tactical and strategic decision-making at the Integrated Operations Centre (IOC) level.
• Your role will include performing in-depth data analytics utilizing statistical methodologies, predictive modeling, and optimization algorithms to identify patterns, uncover opportunities, and mitigate risks across the operation's value chain.
• You will construct and implement complex machine learning models and simulation frameworks to solve high-impact business challenges, from pit to port. Additionally, you will drive the adoption of data-driven approaches, and effectively translate complex analytical insights into actionable strategies for the business.

Minimum Requirements    
QUALIFICATIONS:

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, engineering, computer science or related discipline (Essential/Minimum or)

EXPERIENCE: 

• 4+ years of extensive experience in applied data science, with a focus on practical and commercial analytics in mining or closely related industries.
• Technical expertise in leveraging advanced machine learning frameworks, libraries, and techniques for model development, deployment, and optimization.
• Demonstrated success in driving complex business integration projects that harness end-to-end data science techniques to enhance operational efficiency, improve decision-making, and drive innovation.
• Adept at developing and validating robust machine learning and AI algorithms, with a strong understanding of domain-specific challenges. 

REQUIREMENTS: 

• Psychometric Assessment (Essential/Minimum) (To be conducted by Exxaro)
• Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

Duties & Responsibilities    
Ideal Candidate Profile (Includes but not limited to):

Ability to:

• Develop and lead the application of data science modelling at an Integrated Operations Centre level to deliver insight-driven tactical and strategic value creation. 
• Provide statistical analysis, forecasting, predictive modelling, prescriptive analytics, simulation and optimisation to discover trends, opportunities and threats. 
• Design quantitative advanced analytics models that answer business questions and/or discover opportunities for improvement/optimisation at the business unit. 
• Use data to support and optimise decision making, including predictive decision-making across the business value chain from the pit right through to the port.
• Ensure the availability of approved resources (skills, funding, technology, etc.) for modelling initiatives, driving change and influencing a wide range of stakeholders. 
• Communicate and present findings and recommendations to management and business. 
• Coach junior data scientists if required.