Glencore Research / Analysis Jobs in Johannesburg
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In this role, you will identify machine learning R&D initiatives that have high potential to applicability in the industry. Use the latest advances in deep learning, reinforcement learning and AI to solve business problems. Work with Data Engineers, Machine Learning Engineers and designers to build end-to-end analytics solutions for our clients that drive real impact in the real world.
In this role you will:
- Conduct optimization exercises in the studies stages, incorporating an appreciation of factors such as cost-volume relationships, capital-designed relationships and mining ore body and processing signature characteristics.
- Maintain a Project Execution Control framework to facilitate world-class delivery of capital projects.
- Frame a universally applicable approach to influence and align design and study phases and proactively set up the construction phases for success to optimize project delivery.
- Actively apply expert knowledge and thought leadership to challenge paradigms and lead project teams in the application of conventional and novel methodologies in exploring constructability options that will expedite project execution and realise capital savings.
- Lead the analysis and identification of opportunities to enable step changes in value realization by creating novel management and technical pathways for the integration and/or adaptation of execution cycle time activities and sequencing to drive cost reduction, mitigate project risk and ensure the sustainability of operations post-commissioning.
- Apply rigorous assessment of project teams to ensure that they have the required capability, are optimally integrated and are focussed on driving value.
- Initiate decisive action to address any shortcomings by advising project leadership on options to restore team integrity.
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Your training, skills & expertise checklist:
- An undergraduate qualification (Bachelors's/Honours degree or equivalent) in a relevant subject area including Statistics, Mathematics, Computer Science or another quantitative field. A master's or PHD would be beneficial.
- 5+ years of experience manipulating data sets and building statistical models.
- Significant experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
- Strong skills with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Demonstrated experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
- Experience in mining processes and mining vendors' knowledge is beneficial.
- Multi-tasking and excellent management of personal time and priorities is essential.
- Ability to travel to the site on a regular basis.
- Strong verbal and written communication skills that work effectively with technical and non-technical audiences. (English)
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