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.
EXPERIENCE: 3-5 years Relevant practical or commercial analytics with coding experience in mining or related environments. Technical expertise in ML languages, packages and techniques. A proven track record of successfully leading business integration projects in the fields of data science and machine learning. Sound people and relationship skills that foster collaboration, project management, communication and teamwork. (Essential/Minimum) Operational REQUIREMENTS:
Psychometric Assessment (Essential/Minimum)
Certificate of Fitness (Essential/Minimum)
Duties & Responsibilities
Best Practice and Knowledge Management
Intellectual property management and protection
Create and manage professional networks
Participate in tertiary educational relationships
Participate in professional external forums
Continuously monitors exchange and preservation of information between operations and individuals to facilitate effective knowledge management
Stay abreast with advances in field of business improvement, data science and innovation
Business Performance and Continuous Improvement
Monitor Value Chain throughput and identify Improvement opportunities
Analyse data captured in the Integrated Operations Centre (IOC) to understand the dynamics and variability within the value chain and identify process bottlenecks
Collect, organise (clean and transform) and analyse data using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and present these to relevant stakeholders towards influencing improvement, optimisation and prediction across the Business Unit (BU) value chain
Create new insights from predictive statistical modelling activities that target and deliver value
Business Review Process
Support the business review process by evaluating critical performance areas - 6 monthly, quarterly and monthly within operational function level (mining, beneficiation, engineering etc. or for a smaller business unit)
Implement and track metrics to enable measurement of process efficiency and effectiveness; auditing of current processes and identification of areas of opportunity
Compliance, Governance and Assurance
Execute responsibilities in accordance to relevant governance, policies and procedures
In preparing and building data science models: follow a structured and approved process and follow the Information Management (IM) governance in deploying and industrialising models
Responsible for safe keeping and tracking of all relevant documentation
Customer and Client Relationship Management
Establish and maintain key relationships with stakeholders
Collaborate and communicate effectively with stakeholders
Provide relevant and specialised support to stakeholders
Key stakeholders for this role including IOC team members; Digital Value Chain Leads (DVCL), Lead Value Chain Integrator, Business Improvement, Centralised Data Scientists/Principal Industrial Engineer, Data owners and technicians, IM, BU Production Team
Maintain extensive internal and external professional networks
Data analytics and business insights
Use analytic techniques to understand the dynamics and variability within the value chain and identify process bottlenecks
Collect, organise (clean and transform) and analyse data using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and present these to relevant stakeholders towards influencing improvement, optimisation and prediction across the Business Unit value chain
Create new insights from predictive statistical modelling activities that target and deliver value
Work closely with business stakeholders (IOC team, Business Improvement and DVCL) to identify value and business needs and translate them into concrete problem statements to deliver on
Where applicable delivery may require the inclusion/handover to project-based data scientists
In preparing and building data science models: follow a structured and approved process
Leverage the appropriate teams to clean and transform data when necessary
Follow the IM governance in deploying and industrialising models
Monitor and follow-up on built models when in production to ensure good performance & value creation and update as appropriate
Strive to align focus to Top 5 and P75 and inversely use analytic insights to influence direction setting in these processes
Play a role in guiding focus areas for digitalisation
Be competent in working with any type of data xe2x80x94 both structured and unstructured
Understand when a problem is a data science problem
Document and maintain an understanding and representation of the BU data landscape
Establish data requirements around value chain problems and where data gaps exist, work with technicians and data owners to close gaps
Utilise appropriate indicator/value models for data science initiatives for the purposes of prioritisation and benefit tracking, in collaboration with Business Improvement and Value Chain Integrators
Create frameworks to measure success, partner with Value Chain Integratorxe2x80x99s to define success metrics, create approaches to track the data and troubleshoot errors, quantify and evaluate the data, then develop a common language and effective visualisation for all colleagues to understand these Key Performance Indicators (KPIs)
Operationalize data processes - provide the team with ad-hoc analysis, automated dashboards, and self-service reporting tools so that everyone gets a good sense of the state of the business
Develop and disseminate models according to an agile (MVP) approach
Visually represent models in a compelling story
Identify and build the right user experience so that the output of data science/machine learning workflows is easily interpretable for and actionable by the business users
Actively participate in cross BU Communities of Practice (CoPs) and Forums to build skill, synergies and scaling
Safe and Healthy Work Environment
Establish and maintain a healthy environment and safe operations Practices throughout the Market to Resource value chain
Ensure compliance with all applicable Safety Health and Environmental (SHE) policies and procedures in line with set standards
Encourage a culture that focuses on SHE in all operations
Set design standards in accordance with safe work principles
Promote adherence to all SHE practices and promote good housekeeping on an ongoing basis
Address all unsafe practices and potential hazardous situations, rectify and report to superior
Comply with SHE requirements at all times
Technical Support
Understand the strategic direction set by senior management as it relates to focus areas
Identify and rank initiatives in line with business priorities and an appropriate data science feasibility framework
Approach problems in a systematic way
Apply a system thinking approach to all tasks
Interact with peers and/or management, with confidence and professionalism
Ensure user adoption of developed and industrialised models
Provide input in the evolution and continuous improvement of the IOC
Work with multi-disciplinary teams across multiple reporting lines
Foster a culture of high performance and collaboration across multiple teams
Behavioural Alignment Demonstrates the following:
Creativity, collaboration, sociable and awareness to the ecosystem
Stewardship, accountability, ability to develop trust, safety conscious and ethical
Ability to respond quickly to business needs/agility, flexibility, continuous learning, innovation and proven ability to experiment on creative business solutions
Ability to be inclusive, eagerness for multiple skills, embraces multiple cultures, accepts different approaches and be human-centric/empathetic
Results oriented, quality driven, excellence, entrepreneurial abilities, efficient and effective
The appointment will be made in accordance with Exxaroxe2x80x99s Employment Equity policy. If you have not been contacted within 28 days of the closing date of this advertisement, please accept that your application was unsuccessful.
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