Data Scientist, Ioc

**Job Advert Summary**:
**PURPOSE**:

- 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.
- May coach junior data scientists.

**Minimum Requirements**:
**QUALIFICATIONS**:

- BEng Engineering (Relevant) (Essential/Minimum or)
- B Degree (Relevant) (Essential/Minimum)

**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) (To be conducted by Exxaro)
- Certificate of Fitness (Essential/Minimum) (To be conducted by Exxaro)

**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 da