Job ID:  1664
Posting date:  Apr 3, 2026
Closing date:  April 16, 2026
Country/Region:  CD
City:  Kolwezi
Department:  Open Pit Geology - Surface Mining
Job Type:  Permanent
Travel:  0 - 10%
Description: 

Kamoto Copper Company Société Anonyme, KCC SA in acronym, is a Congolese company operating in Kolwezi, capital of the province of Lualaba, in the Democratic Republic of Congo.

KCC SA exploits copper and cobalt ores on a large scale. It includes an underground mine, open-pit mines and integrated metallurgical facilities. The operation has one of the largest copper reserves in the world, with a current life of over 25 years.

As an industrial mining company, we provide safe workplaces and support the sustainable development of the local economy. We maintain a constructive and open dialogue with the communities that host us, as well as with the provincial and national government.

 

Under the supervision of the OP Grade Control and Reconciliation Superintendent, the role of the incumbent will be to develop and manage the grade control estimation processes in order to produce reliable block models and extraction plans adapted to mining operations. He/she will transform geological and analytical data into actionable information to optimize ore recovery and reduce dilution. The position involves strong collaboration with the geology, mine planning, processing and operations teams. He/she will also be responsible for the blending reconciliation and optimization processes. Finally, he/she will contribute to the continuous improvement of estimating methods and the automation of workflows.

 

He/She will have, among others, the following essential functions (non-exhaustive):

 

  • Coordinate the complete grade control estimation process. This includes managing the entire workflow from the collection of drilling and sampling data to the production of validated block models and operational extraction plans.
  • Build and validate block models. This includes developing, updating, and controlling the quality of block models, ensuring their geological consistency, and ensuring version control.
  • Interpret geological data and structure domains. This includes analyzing and mapping geological structures, defining consistent domains, and creating wireframes that meet geological and QA/QC standards.
  • Define and apply estimation methods. This includes selecting and applying appropriate estimation techniques (compositing, variography, kriging, IDW, etc.) based on geological characteristics and production needs.
  • Develop dig plans. This includes producing detailed plans including selective extraction zones, no-go zones and operational polygons adapted to the constraints of the terrain and processing.
  • Lead the reconciliation process. This includes designing and executing reconciliation processes, comparing estimated data to actual production data, analyzing variances, and recommending corrective actions.
  • Optimize blending and factory feeding. This includes developing blending plans, simulating different scenarios and adjusting strategies to meet the plant's grade and tonnage requirements.
  • Automate modeling and reporting processes. This includes developing and maintaining automated scripts, macros, and tools (Datamine, Python, VBA, etc.) to improve process efficiency, reliability, and traceability.
  • Ensure data quality and validation. This includes monitoring drilling, sampling, and assay (QA/QC) data, verifying its integrity, and coordinating corrective actions in the event of anomalies.
  • Provide technical support and transfer of expertise. This includes mentoring grade control geologists, providing training on estimation methods, software tools and interpretation of results.

 

Job Requirements 

 

Qualifications and experience.

 

  • Hold a university degree (Bachelor's degree or equivalent) in Geology or Earth Sciences
  • Have at least 5 years of experience in modeling, estimation and grade control in an open-pit mine
  • Have proven experience in short-term estimating and reconciliation
  • Experience in copper and/or cobalt mining operations (asset)
  • Have a valid driver's license

 

Technical skills

 

  • Proficient in specialized software such as Datamine Studio RM, Leapfrog, Ore Controller or equivalents
  • Have expertise in block modeling, geostatistical estimation and dig plan preparation
  • Master compositing, variography, kriging and other estimation methods
  • Have strong automation skills (Python, VBA, SQL, Datamine macros, etc.)
  • Have a good command of advanced Excel and ideally Power BI
  • Understand the प्रक्रessus QA/QC, data validation, and reconciliation
  • Be able to perform blending simulations and material balances

 

Attitudes / Behaviours

 

  • Demonstrate technical leadership and ability to lead a team
  • Demonstrate a high level of rigor and precision
  • Be analytical with a strong critical mind
  • Be proactive and anticipate operational needs
  • Be results-oriented and continuous improvement
  • Demonstrate a strong ability to organize and manage priorities
  • Excellent communication skills (French and English)
  • Demonstrating resilience in a demanding environment
  • Fostering interdisciplinary collaboration
  • Acting with integrity and professionalism

 

 

 

KCC SA does not accept applications submitted by people under the age of eighteen (18). In accordance with article 1 of the Labor Code of the Democratic Republic of Congo, KCC SA receives all applications without distinction or discrimination. However, as part of its Equal Opportunity, Diversity, Equity and Inclusion program, applications from women are strongly encouraged.

In accordance with our Compliance Policy and Code of Conduct, KCC SA or its employees do not receive any remuneration or benefits of any kind at any stage of the recruitment process. Violators are subject to legal action.

Any act or attempt of bribery related to this job application must be reported via the Glencore Group Raising Concerns Programme channels. Please scan the QR code to access the channels.

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Furthermore, KCC SA pursues the objective of a transparent, fair and equitable recruitment process and, therefore, does not tolerate any interference or intervention in any way whatsoever in its recruitment process. Any failure on this point will result in the immediate disqualification of the candidate concerned.