Specialist Data Science

At BHP we believe our purpose goes beyond mining: we work to improve lives and create a more sustainable future. We are a global resources company with operations in more than 90 locations worldwide.

At BHP we are transforming the way mining is done. We embrace innovation sustainability and inclusion to build a smarter safer and more human future.

We are proud to be recognized asone of Canadas Top 100 Employers for 2026 a testament to our dedication to fostering a positive diverse and rewarding work environment. At BHPyoullbe part of a team that values safety integrity performance and collaboration.

The preferred location for this position is Toronto (Canada) with consideration for Santiago (Chile) and Perth (Australia). The associated work schedule will be 40 hours per week Monday to Friday. Hybrid working (flexible shared workstations and a combination of office and work from home) is standard for BHP.

BHP offers domestic relocation assistance to support the successful incumbent in transitioning if required. Benefits offered as part of the relocation program include (but are not limited to) new home purchase assistance temporary accommodations home finding trip and a resettlement allowance.

The Specialist Data Scientist applies advanced analytics machine learning and AI techniques to help solve complex value-accretive geoscience challenges that accelerate mineral exploration and improve decision quality across the Exploration portfolio. As a member of Explorations Data Science team this role partners closely with geoscientists and technical specialists to deploy and enhance existing data science solutions that increase the scale speed and confidence of exploration decisions across the exploration value chain. Working alongside exploration teams the Specialist Data Scientist acts as a trusted technical collaborator helping identify opportunities where existing data science tools workflows and AI capabilities can improve exploration outcomes. The role also contributes to the development and continuous improvement of new analytics and machine learning solutions that address emerging exploration challenges. The successful candidate will combine developing expertise in data science machine learning and AI with a solid foundation in one or more geoscience disciplines such as geology geophysics geochemistry remote sensing or geodynamics. They will have experience applying quantitative and analytical techniques to geoscience data and a demonstrated interest in leveraging modern and novel data science approaches to support mineral exploration workflows including areas such as prospectivity analysis geophysical interpretation hyperspectral data analytics geological data integration computer vision and predictive modelling. Success in this role requires strong collaboration across interdisciplinary teams curiosity to learn from both data science and geoscience experts and the ability to translate complex analytical concepts into clear actionable insights for technical and non-technical audiences. The ideal candidate is an effective communicator who can build trusted relationships with geoscientists influence decision-making through data-driven insights and contribute to the adoption of advanced analytics and AI capabilities within Exploration.

In this role you will:

• Lead the application of established machine learning or AI workflows to exploration geoscience problems working collaboratively with geoscientists and the investment lead while embedded in a multidisciplinary investment team to deliver data science projects that add value and influence business decisions.
• Collaborate with geoscience customers and data scientist peers to develop customized novel data analytics machine learning and AI solutions for large-scale exploration geoscience problems across geology geochemistry geophysics geodynamic modeling remote sensing and resource modeling.
• Collaborate with the Exploration Technology team to deploy data science solutions into production ensuring their sustainability and continued use beyond initial development when appropriate.
• Provide technical guidance to outsourced data science resources supporting exploration teams to ensure technical work is compliant with established internal standards and best practices.

Required Experience and Skills

• Over 3 years of experience applying advanced data analytics machine learning and/or AI to geoscience problems preferably in minerals exploration.
• Over 3 years of programming experience applied to geological sciences using Python C R or Java.
• Demonstrated experience in geospatial analytics including raster and vector data processing and validation of spatial or geoscience models considering spatial leakage uncertainty sampling bias spatial autocorrelation scale of applicability and ground truthing.
• Exposure to code management platforms (e.g. GitLab) or workflow management tools (e.g. Dataiku Databricks) to collaborate on workflow development with team members.
• Demonstrated experience working in small to mid-sized multidisciplinary teams as a data scientist collaborating directly with geoscientists.
• Skilled in communicating complex data science project workflows and results to geoscientists and managers (or other non-data science audiences) via technical writing or presentations.

Recommended Experience and Skills

• Postgraduate degree (MSc/PhD) in geoscience data science statistics mathematics or any other physical science.
• Exposure to high-performance cloud computing platforms (e.g. Azure Cyclecloud AWS ParallelCluster Google Cloud Cluster) for data processing and analysis.
• Exposure to programmatic accessing (APIs) integrating querying and manipulating structured datasets from relational databases (SQL Server PostgreSQL Oracle Snowflake etc.).
• Exposure to probabilistic or Bayesian modelling particularly the use of prior information Bayesian updating with new evidence and interpretation of posterior distributions to quantify uncertainty and support decision-making.
• Demonstrated experience working with common minerals exploration data types including geological maps structural data geochemistry sample data geophysical survey data hyperspectral data geodynamics data or other related data types.
• Demonstrated experience influencing technical decisions through partnership with exploration geologists project geologists geophysicists or exploration leadership including presenting analytical findings and recommendations to non-data science audiences.

This posting will be active until 11:59pm CST on August 9 2026.

At BHP we understand that to bring your best you need to feel your our benefits are designed to support your health your growth and your personal balance.

• Professional Development: Continuous learning and real opportunities for growth
• Compensation: Fair and competitive reflecting your role skills and achievements
• Inclusive Culture:A workplace where everyone feels valued respected and free to express their authentic identity

At BHP we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process there are several checks which may be conducted todemonstrateapplicants suitability for a role including police / criminal background checks medical drug and alcohol testing due diligence checks right to work checks and/or reference checks.

With operations worldwide BHP offers limitless opportunities. Whetheritscompetitive benefits international career pathways or the chance to be part of a worldclass project like Jansen at BHP you can shape a careerthatstruly yours.

Ifyourelooking for a place where your work has purpose your growth is supported and your impact is real this could be your next step.

At BHP we believe diversity makes us to creating a safe inclusive workplace where everyone is treated fairly and can thrive. Our workforce reflects the communities where weoperate and we value all aspects of identity; gender age race disability sexual orientation religion neurodiversity education and more.

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