Mine Geologist - Resource Estimation

Placements24; Noord-Kaap; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Bonus opportunities

Health insurance

Hybrid work

Professional development

Conferences attendance

Job summary

Placements24 in South Africa near Kimberley is seeking a Mine Geologist with expertise in resource estimation to lead robust geological modeling and reserve classification. You will work with drill, logging and assay data to build reliable models and apply estimation techniques.

The ideal candidate has a MSc in Geology or Geostatistics, 5+ years’ experience in resource estimation for diamond or other minerals, and proficiency with Leapfrog Geo, Datamine, Snowden Suite or Isatis.

Qualifications

• Master's degree in Geology, Geostatistics, or related quantitative field.
• Minimum of 5 years of resource estimation experience for diamond or other minerals.
• Proficiency with geological modeling and resource estimation software.
• Solid understanding of geostatistical principles and their practical application.
• Experience in data quality control and validation.
• Excellent analytical, report writing, and communication skills.

Responsibilities

• Develop and validate geological block models from drill data and logs.
• Apply geostatistical methods to estimate resources and reserves.
• Perform sensitivity analyses and uncertainty assessments.
• Prepare technical reports per industry standards (JORC, NI 43-101).
• Collaborate with mine planning engineers, geologists, and consultants.
• Stay current with advancements in geological modeling software and techniques.

Skills

Geostatistics

Data quality control

Analytical skills

Report writing

Communication

Education

Master's degree in Geology, Geostatistics, or related quantitative field

Tools

Leapfrog Geo

Datamine

Snowden Suite

Isatis

Job description

About the Role

Our client is seeking a skilled Mine Geologist with expertise in resource estimation to join their team near Kimberley. This role is critical for accurately quantifying mineral resources and reserves, providing the foundation for mine planning and economic evaluation. You will work with geological, drilling, and assay data to build robust geological models and apply appropriate estimation techniques. The ideal candidate is proficient in geological modeling software and possesses a strong understanding of geostatistics. This is an excellent opportunity to contribute to a key aspect of the mining value chain, working within a collaborative environment focused on accurate and reliable resource definition.

Key Responsibilities

• Develop and validate geological block models using geological data, including drill holes, logging, and assays.
• Apply geostatistical methods (e.g., kriging, simulation) to estimate mineral resources and reserves.
• Perform sensitivity analyses and uncertainty assessments related to resource estimates.
• Prepare comprehensive technical reports documenting resource estimation methodologies and results, adhering to industry standards (e.g., JORC, NI 43-101).
• Collaborate closely with mine planning engineers, geologists, and external consultants.
• Stay current with advancements in geological modeling and resource estimation software and techniques.

Requirements

• Master's degree in Geology, Geostatistics, or a related quantitative field.
• Minimum of 5 years of experience in resource estimation for diamond or other mineral commodities.
• Proficiency with geological modeling and resource estimation software (e.g., Leapfrog Geo, Datamine, Snowden Suite, Isatis).
• Solid understanding of geostatistical principles and their practical application.
• Experience in data quality control and validation.
• Excellent analytical, report writing, and communication skills.

Benefits

• Competitive salary and performance-based bonus opportunities.
• Comprehensive health, dental, and vision insurance coverage.
• Hybrid work arrangement offering flexibility between office and remote work.
• Opportunities for professional development and attendance at relevant workshops and conferences.
• A collaborative team culture focused on technical excellence and accurate resource definition in Kimberley.