Jobs at First Quantum Minerals LTD

Purpose of the role:

• This role will form part of a team of infrastructure engineers that overlook and provide critical (L3 and L4) support to data centres across multiple regions.
• The incumbent shall form part of a talented team of engineers that demonstrate superb technical competency, delivering mission critical infrastructure and ensuring the highest levels of availability, performance and security.
• The incumbent will provide expert technical assistance and expertise in performing capacity management and planning, evaluation of emerging infrastructure technologies, supporting data centre operations and a point of escalation for the different IT teams across multiple regions.

Key Responsibilities:

• Using in-depth knowledge of the supported platform (Microsoft – Hyper-V); recommends improvements, defines system solutions, defines process solutions, troubleshoots integration issues, and represents interests of the support team in enterprise systems portfolio planning.
• Ensures high availability of enterprise infrastructure platforms.
• Performs routine system monitoring, necessary troubleshooting and daily alert review, in order to determine the health and needs of systems.
• Maintains and recommends procedures for system administration activities, supports the development and maintenance of IT standards, and provides input for mid to long range systems planning.
• Designs and validates the hardware layer solutions, meeting resiliency and performance expectations.
• Maintains awareness and knowledge of industry technology trends for technical viability and risk management to the organisation.
• Adhere to and implement Group ICT standards and policies.
• Effectively and efficiently develop, maintain and optimise server infrastructure.

Qualifications Required:

• Bachelor degree in Computer Science or equivalent qualification(s)

Experience & Skills Required:

• A minimum of 5 years' experience managing high availability systems
• Must have experience in set-up/support of MS Hyper V Cluster environments
• Broad generalist knowledge of current, certified Information Technology standards, operating systems, and implications of emerging technology trends.
• Broad understanding of IT operational related technologies such as virtualisation, storage and backups.
• Database and Converged Architecture experience advantageous.
• Understanding of ITIL processes.
• Knowledge of in Cloud Technologies (Azure) would be advantageous.

Behavioural Traits Required:

• Ability to work well in a team
•  “First time fix” attitude
• Must be able to work in a globally diverse business environment
• Self-motivated
• Good interpersonal skills

Other Requirements:

• Required, at times, to be on-call and/or to work outside normal business hours and days of the week as necessary as we’re supporting 24/7 Mining Operations
• This role is a hybrid based role (2/ 3 days in the office) in Cape Town

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Purpose of the role:

• First Quantum Minerals is a forward-thinking organization dedicated to leveraging data for informed decision-making and innovation. We are currently seeking an experienced Data Scientist with a minimum of 8 years' experience to join our dynamic team.
• The Data Scientist will play a pivotal role in various data-related responsibilities, with a primary focus on enhancing data-driven insights and value generation, and ensuring data adoption and compliance within the organization.

Key Responsibilities:

Common Data Model Development (Data Product Management)

• Conceptualising and executing initiatives that drive adoption, standardisation and value generation for the region.
• Accountable for regional data service desk and ensuring support queries are resolved.
• Leading a team of Data Designers who are responsible for data products and data operations.
• Collaborating with business stakeholders to align the data model/products with specific business requirements and use cases.
• Implementing version control mechanisms to manage changes to the data model/products over time.
• Identifying and recording how data maps from various sources to the common data model schema
• Continuously assessing and updating the common data model to accommodate evolving business needs and data sources.
• Communicating data model changes and updates to relevant stakeholders and ensuring a smooth transition.

Data Value Generation (Data Science)

• Extracting actionable insights and patterns from data using appropriate tools
• Performing data sampling to assess the quality and suitability of the data.
• Developing strategies for handling missing data, outliers, errors, and inconsistencies along with the data engineering teams.
• Choosing appropriate machine learning algorithms for project objectives.
• Designing the architecture of machine learning models, including neural network architectures if applicable.
• Deploying, maintain and improve machine learning models into production environments.

Data Adoption and Compliance

• Developing and executing strategies and standards for promoting data adoption within the organization.
• Monitor adoption/compliance of standards and best practices within areas/functions in the region.
• Ensuring data quality and reliability to boost user confidence and adoption.
• Monitoring and reporting on key adoption metrics, such as user engagement, data utilization, and user satisfaction.
• Implementing change management practices to facilitate the smooth adoption of new data-related technologies and processes.
• Providing support to stakeholders encountering issues or challenges in utilizing data resources effectively.
• Regularly communicating updates, successes, and challenges related to data adoption to the DNA Lead and project stakeholders.

Qualifications Required:

• Degree in a relevant field (e.g., Computer Science, Statistics, or a related field)

Experience & Skills Required:

• A minimum of 8 years of experience mining, manufacturing, or heavy industry roles.
• A minimum of 5 years' experience in data science or data analytics roles.
• A minimum of 2 years' experience in a leadership and stakeholder engagement roles.
• Proficiency in data science and machine learning tools and languages (e.g., Python, R, TensorFlow).
• Strong analytical, problem-solving, and communication skills.
• Experience in data governance, compliance, and data adoption strategies is a plus.

Behavioural Traits Required:

• Performance and Results Orientated
• Team player
• Effective Communication abilities
• Ability to manage change
• Ability to work under pressure
• Demonstrate leadership skills
• Knowledge and interest in computer systems and the latest technologies