Data Scientist - Staff or Senior (United Kingdom) · KoBold Metals

Fri, 17 Apr 2026 12:40:11 GMT
Engineering

KoBold Metals · Remote · $140,00 - $240,000 (USD) plus equity and benefits · remote
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. You will help build a worldwide dataset for our exploration program, with careful attention to identifying and quantifying uncertainty in the data and predictions. You will create models and develop software to accelerate discovery of critical battery metals. You will join an outstanding team of data scientists and engineers and work closely with (*applicant'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 uncertainty in our predictions and guide the next phase of field work. 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. Responsibilities: * Help develop KoBold's proprietary software exploration tools. * Find and curate geophysical, geochemical, geologic, and geographic data and integrate it into KoBold's proprietary data system. * Build models to make statistically valid predictions about the locations of compositional anomalies within the Earth's crust. * Create effective visualizations for evaluating model performance and enabling rapid interaction with the underlying data and key features. * 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. * Present to and collaborate with our external partners and stakeholders. Qualifications: * Technical skills, including extensive experience with Python's data science packages and general software engineering practices. * Collaborative software development (git), and familiarity with software engineering best practices like unit test / integration test suites, and CICD pipelines. * Cloud computing resources. * Building predictive models, applying them to different problems, and evaluating and interpreting the results. * Data from a variety of physical systems. * Geospatial analyses and visualizations. Technical knowledge: * Broad skills in and knowledge of applied statistics and Bayesian inference. * Substantial understanding of machine learning algorithms. Training and work experience: * An advanced degree in the physical sciences, engineering, computer science, or mathematics. * A minimum work experience of 4 years post PhD or 8 years post MS, ideally as a data scientist or data engineer. * Experience leading technical teams to apply novel scientific approaches to core business problems. Work practices and motivation: * Ability to take ownership and responsibility of large projects. * Ability to explain technical problems to and collaborate on solutions with domain experts. * Communicates well on a collaborative, cross-functional team. * Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on a range of responsibilities. * Ability to independently prioritize multiple tasks effectively. * Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. * 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. * 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. * A valid passport and willingness to travel to observe our work at Mingomba or at an exploration site around the world. 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.