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<source>
  <jobs>
    <job>
      <externalid>f82b9847-6c8</externalid>
      <Title>Senior Exploration Geologist</Title>
      <Description><![CDATA[<p>About the company</p>
<p>KoBold Metals is a privately held mineral exploration company and technology developer. It has become the largest independent mineral exploration company and largest exploration technology developer.</p>
<p>In the six years since founding, KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery.</p>
<p>About the position</p>
<p>In this role, you will lead evaluations of potential properties for acquisition, generate targets, and design and oversee field programs from target definition through to resource expansion. You will be part of a multidisciplinary team and will work closely with data scientists, using KoBold’s technology to help guide our field programs and decision-making. You will also work directly with our senior technical advisors and with the executive team on making the investment case for acquisitions and field programs.</p>
<p>Responsibilities</p>
<ul>
<li>Demonstrate in all activities a commitment to the highest standards in health and safety, environment, and community relations</li>
<li>Rigorously analyze geoscientific datasets across a range of scales from provinces to prospects to determine exploration potential and to identify, rank, and prioritize exploration targets</li>
<li>Design, budget, permit, and execute field programs ranging from geological mapping and sampling of grass roots prospects through to large drilling programs on advanced projects, with leading industry practice in data acquisition and validation</li>
<li>Provide technical guidance and support to local in-country project teams during the design and execution of exploration programs, including site visits and engagement with other project stakeholders (e.g., community representatives, regulatory authorities, and joint venture partners)</li>
<li>Work collaboratively with data scientist colleagues to conceive and implement insightful analytical methods</li>
</ul>
<p>Qualifications</p>
<p>A great Senior Exploration Geologist candidate will have:</p>
<ul>
<li>Strong technical knowledge of one or more ore deposit types. Experience working on sediment-hosted stratiform copper or magmatic sulfide deposits will be considered an advantage</li>
<li>Excellence in generative analysis ranging from new concepts to integration, interpretation, and modeling of large datasets</li>
<li>Good field skills and experience conducting field programs across a range of project stages from grassroots prospects through to advanced projects with significant drilling campaigns</li>
<li>Baseline level of proficiency in standard desktop software packages (e.g., ArcGIS or QGIS)</li>
<li>Strong leadership skills including the ability to motivate and inspire others, to share ownership and responsibility for project outcomes, and to work effectively in collaborative, interdisciplinary teams</li>
<li>Previous experience in coaching and training geoscientists of varying experience, educational backgrounds and cultures in leading-practice mineral exploration</li>
<li>Demonstrated commitment to high standards of health and safety in the workplace</li>
<li>A minimum of 10 years experience in the mineral exploration industry</li>
</ul>
<p>It is helpful but not required to have:</p>
<ul>
<li>Working knowledge of one programming or scripting language (e.g., Python, R, C/C++)</li>
<li>Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data</li>
<li>International experience, particularly in the Central African Copperbelt</li>
</ul>
<p>Note: Candidates who are specialists in geochemistry or geophysics but open to doing significant project work are encouraged to apply.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$110,000-$170,000</Salaryrange>
      <Skills>Strong technical knowledge of one or more ore deposit types, Rigorously analyse geoscientific datasets, Design, budget, permit, and execute field programs, Provide technical guidance and support to local in-country project teams, Work collaboratively with data scientist colleagues, Working knowledge of one programming or scripting language, Knowledge of geostatistics and/or other statistical methods relevant for analysis of geoscientific data, International experience, particularly in the Central African Copperbelt</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>KoBold Metals</Employername>
      <Employerlogo>https://logos.yubhub.co/koboldmetals.com.png</Employerlogo>
      <Employerdescription>KoBold Metals is a privately held mineral exploration company and technology developer. It has become the largest independent mineral exploration company and largest exploration technology developer.</Employerdescription>
      <Employerwebsite>https://www.koboldmetals.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/koboldmetals/jobs/4350560005</Applyto>
      <Location>Remote</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>c01f9dc6-b17</externalid>
      <Title>Data Scientist - Staff or Senior (United Kingdom)</Title>
      <Description><![CDATA[<p>In this role, you will build predictive models and apply scientific computing, statistical, and physics-based methods to find places with evidence of ore-forming processes and predict locations of ore-grade mineralization in 2D and 3D.</p>
<p>You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions.</p>
<p>You will create models and develop software to accelerate discovery of critical battery metals.</p>
<p>You will join an outstanding team of data scientists and engineers and work closely with (*applicant&#39;s) world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits.</p>
<p>Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce uncertainty in our predictions and guide the next phase of field work.</p>
<p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems.</p>
<p>As one of the early members of this team, you will help build these tools from the ground up.</p>
<p>Responsibilities:</p>
<ul>
<li>Help develop KoBold&#39;s proprietary software exploration tools.</li>
<li>Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold&#39;s proprietary data system.</li>
<li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth&#39;s crust.</li>
<li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li>
<li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li>
<li>Present to and collaborate with our external partners and stakeholders.</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>Technical skills, including extensive experience with Python&#39;s data science packages and general software engineering practices.</li>
<li>Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines.</li>
<li>Cloud computing resources.</li>
<li>Building predictive models, applying them to different problems, and evaluating and interpreting the results.</li>
<li>Data from a variety of physical systems.</li>
<li>Geospatial analyses and visualizations.</li>
</ul>
<p>Technical knowledge:</p>
<ul>
<li>Broad skills in and knowledge of applied statistics and Bayesian inference.</li>
<li>Substantial understanding of machine learning algorithms.</li>
</ul>
<p>Training and work experience:</p>
<ul>
<li>An advanced degree in the physical sciences, engineering, computer science, or mathematics.</li>
<li>A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer.</li>
<li>Experience leading technical teams to apply novel scientific approaches to core business problems.</li>
</ul>
<p>Work practices and motivation:</p>
<ul>
<li>Ability to take ownership and responsibility of large projects.</li>
<li>Ability to explain technical problems to and collaborate on solutions with domain experts.</li>
<li>Communicates well on a collaborative, cross-functional team.</li>
<li>Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities.</li>
<li>Ability to independently prioritize multiple tasks effectively.</li>
<li>Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain.</li>
<li>Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.</li>
<li>Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company.</li>
<li>A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world.</li>
</ul>
<p>Preferred skills include creating machine learning models on geospatial data, geostatistics, image processing or computer vision, and distributed computing applications for machine learning and other computations.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$140,00 - $240,000 (USD) plus equity and benefits</Salaryrange>
      <Skills>Python&apos;s data science packages, General software engineering practices, Collaborative software development (git), Software engineering best practices, Cloud computing resources, Building predictive models, Applying models to different problems, Evaluating and interpreting results, Data from a variety of physical systems, Geospatial analyses and visualizations, Applied statistics and Bayesian inference, Machine learning algorithms, Creating machine learning models on geospatial data, Geostatistics, Image processing or computer vision, Distributed computing applications for machine learning and other computations</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>KoBold Metals</Employername>
      <Employerlogo>https://logos.yubhub.co/koboldmetals.com.png</Employerlogo>
      <Employerdescription>KoBold Metals is a mineral exploration company using AI to explore for metals needed for a low-carbon economy, with a global portfolio of over 50 exploration properties.</Employerdescription>
      <Employerwebsite>https://www.koboldmetals.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/koboldmetals/jobs/4677631005</Applyto>
      <Location>Remote</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
    <job>
      <externalid>ccc99db2-dd4</externalid>
      <Title>Data Scientist - Staff or Senior (Australia)</Title>
      <Description><![CDATA[<p>We are hiring a Data Scientist to help accelerate our mission. In this role, you will build predictive models and apply scientific computing, statistical, and physics-based methods to find places where there is evidence of ore-forming processes at work and to predict the locations of ore-grade mineralization in 2D and 3D. You will help build a worldwide dataset that underlies our exploration program, with careful attention to identifying and quantifying uncertainty in the data and in our predictions. You will create models and develop software to accelerate discovery of critical battery metals.</p>
<p>You will join an outstanding team of data scientists and engineers and will work closely with KoBold&#39;s world-renowned geoscientists to incorporate our best understanding of the chemical and physical processes that create ore deposits. Working with your geoscience colleagues, you will create 2D and 3D geologic predictions, identify exploration targets, design field programs to collect data, and use that data to reduce the uncertainty in our predictions and guide the next phase of field work.</p>
<p>Ultimately, your role is to help KoBold make valuable discoveries by building data tools to solve scientific problems. As one of the early members of this team, you will help build these tools from the ground up.</p>
<p>Responsibilities:</p>
<ul>
<li>Help develop KoBold&#39;s proprietary software exploration tools.</li>
<li>Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold&#39;s proprietary data system.</li>
<li>Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth&#39;s crust.</li>
<li>Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features.</li>
<li>Develop and apply data processing, statistical, and physics-based techniques to geoscientific data , from computer vision to geophysical inversions , and use the results to guide our targeting efforts and inform our acquisition and exploration decisions.</li>
<li>Present to and collaborate with our external partners and stakeholders.</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange>$140,000 - $240,000 (USD) plus equity and benefits</Salaryrange>
      <Skills>Python&apos;s data science packages, General software engineering practices, Collaborative software development (git), Cloud computing resources, Building predictive models, Applying machine learning algorithms, Data from a variety of physical systems, Geospatial analyses and visualizations, Creating machine learning models on geospatial data, Geostatistics, Image processing or computer vision, Distributed computing applications for machine learning and other computations</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>KoBold Metals</Employername>
      <Employerlogo>https://logos.yubhub.co/koboldmetals.com.png</Employerlogo>
      <Employerdescription>KoBold Metals is a mineral exploration company using AI to explore for metals needed for a low-carbon economy. It has a global portfolio of over 50 exploration properties.</Employerdescription>
      <Employerwebsite>https://www.koboldmetals.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/koboldmetals/jobs/4677639005</Applyto>
      <Location>Remote</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>