About The Role
In this role, you'll build scientific computing and spatial analytics solutions for a strategic platform inside Anglo American plc, supporting the exploration, extraction, processing, and marketing of copper, premium iron ore, platinum group metals, and diamonds. You'll turn time-series and geospatial data into tools that guide decisions across mining operations in South America, Africa, Australia, Europe, and North America, working alongside a cross-functional team where technical ownership and innovation drive real business outcomes.
Responsibilities
- Design and build data-intensive Python applications that transform raw sensor, geological, and operational data into actionable insights.
- Develop and deploy Dockerized services to package analytical models for consistent use across global mining sites.
- Apply spatial interpolation and geostatistical methods to model resource distributions, ore bodies, and operational risk.
- Collaborate with data scientists, geologists, and platform engineers to integrate machine learning models into production workflows.
- Query, structure, and optimize large operational datasets in SQL to support reliable downstream analytics.
- Build and maintain services on Azure, using Container Apps and Service Bus to support scalable, event-driven data processing.
- Support MLOps practices to monitor, retrain, and version models as new field data becomes available.
- Share findings and technical approaches with stakeholders across regions and functions.
Requirements
- Strong hands-on experience with Python and numerical/data analysis libraries such as NumPy, SciPy, Pandas, or Polars.
- Practical experience developing and deploying Dockerized applications.
- Working knowledge of machine learning concepts and related statistical methods.
- Proficiency in SQL for querying and managing large datasets.
- Experience with time-series analysis and spatial interpolation techniques.
- Exposure to C++ or .NET (C#) is a plus.
- Familiarity with Microsoft SQL Server, PostGIS, or geostatistics is an advantage.
- Experience with Azure Cloud services, including Container Apps and Service Bus, is a plus.
- Comfortable working independently and collaborating across distributed, cross-functional teams.
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
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