Remote Senior Mineral Resource Modeler - Data Science Focus

Placements24; Bloemfontein; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive salary and bonuses

Training and conferences

Job summary

Placements24 is seeking a Senior Mineral Resource Modeler for a fully remote role. You will develop and validate advanced geological models, apply geostatistical techniques, and integrate diverse datasets to support mine planning and investment decisions.

The position requires 8+ years in resource modeling, MSc/PhD in a quantitative field, and proficiency with Leapfrog Geo, Datamine, and Python/R. Travel is minimal and collaboration is global.

Qualifications

• MSc or PhD in Geology, Geostatistics, Mining Engineering, or related field.
• 8+ years experience in mineral resource modeling and estimation.
• Expert in leading geological modeling and geostatistical software.

Responsibilities

• Develop, interpret, and validate geological and mineral resource models.
• Apply kriging, simulation, and other geostatistical methods to estimates.
• Integrate drilling data, logs, assays, density, and surveys into models.
• Use Python/R and ML tools to improve model accuracy.
• Perform uncertainty quantification and risk assessments.
• Prepare technical reports for JORC/NI 43-101 compliance.
• Mentor junior geologists and modelers remotely.
• Stay updated on new tools and best practices.

Skills

Geostatistics

Python

R

Data analysis

Education

MSc or PhD in Geology/Geostatistics

Tools

Leapfrog Geo

Datamine Studio

Supervisor

Vulcan

Isatis

GSLIB

Job description

About the Role

Our client, a leader in geological consulting and data analytics for the mining industry, is seeking an experienced Senior Mineral Resource Modeler for a fully remote position. This role is critical for developing and validating robust geological and resource models that form the basis of mine planning and investment decisions. The ideal candidate will possess a strong blend of geological expertise, advanced statistical modeling skills, and proficiency in cutting-edge data science techniques. You will play a key role in enhancing the accuracy and reliability of resource estimates for a diverse portfolio of mining projects worldwide, working from your preferred location.

Key Responsibilities

• Develop, interpret, and validate geological and mineral resource models using advanced software and methodologies.
• Apply statistical and geostatistical techniques (e.g., kriging, simulation) to estimate mineral resources and reserves.
• Integrate diverse datasets, including drilling data, geological logs, assays, density, and survey data, into modeling workflows.
• Utilize data science tools and techniques (e.g., Python, R, machine learning) to explore data, identify trends, and improve model accuracy.
• Perform sensitivity analyses, risk assessments, and uncertainty quantification for resource estimates.
• Collaborate closely with geologists, engineers, and other stakeholders to ensure models accurately reflect geological understanding and mining constraints.
• Prepare clear and concise technical reports detailing modeling methodologies, results, and assumptions for compliance with international reporting standards (e.g., JORC, NI 43-101).
• Mentor junior geologists and modelers, sharing expertise in resource estimation and data analysis.
• Stay abreast of new technologies, software developments, and best practices in mineral resource modeling and data science.

Requirements

• M.Sc. or Ph.D. in Geology, Geostatistics, Mining Engineering, or a related quantitative field.
• Minimum of 8 years of experience in mineral resource modeling and estimation within the mining industry.
• Expert proficiency in leading geological modeling and geostatistical software (e.g., Leapfrog Geo, Datamine Studio, Supervisor, Vulcan, Isatis, GSLIB).
• Strong programming skills in Python or R, with experience in data manipulation, statistical analysis, and machine learning libraries.
• Deep understanding of geostatistical principles and their application to mineral resource estimation.
• Experience with geological data management systems and databases.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex technical information effectively.
• Proven ability to work independently and manage multiple projects effectively in a remote setting.
• Professional registration (e.g., P.Geo, Pr.Sci.Nat) is an advantage.

Benefits

• Our client offers a competitive salary, performance bonuses, and remote work flexibility.
• This position provides the opportunity to work on diverse and challenging projects globally without the need for relocation.
• We invest in our employees' professional growth through training, conference participation, and access to cutting-edge tools and technologies.
• Join a forward-thinking company that values innovation and expertise in the mining sector, all from the convenience of your home office.