Remote Lead Data Scientist - Mining Analytics
- glasgow, scotland, EH1 1BB, United Kingdom
- Permanent·Remote
- Full time
- £100,000 - £100,000 Per Annum
Job Description
About the Role
Our client is looking for an accomplished Lead Data Scientist to join their dynamic team on a fully remote basis, focusing on advanced analytics for their mining operations across Scotland. This senior role will involve leading a team of data scientists, developing predictive models, and leveraging machine learning to optimize exploration, production, and operational efficiency. You will work with large, complex datasets to extract actionable insights, driving data-informed decision-making across the organization. This is an exceptional opportunity for a leader in data science to shape the technological future of a prominent mining company.
Key Responsibilities
- Lead and mentor a team of data scientists, guiding their technical development and project execution.
- Develop and deploy sophisticated machine learning models for tasks such as resource prediction, equipment failure analysis, and operational optimization.
- Design and implement data mining strategies to uncover hidden patterns and trends in large-scale datasets.
- Collaborate with geologists, engineers, and operations managers to define analytical needs and translate business problems into data science solutions.
- Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
- Stay abreast of the latest advancements in data science, machine learning, and AI relevant to the mining industry .
Requirements
- A Master's or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with at least 3 years in a lead or management role.
- Proven expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong experience working with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent communication, collaboration, and leadership skills, essential for managing a remote team.
Benefits
- Highly competitive salary and significant performance-based bonuses.
- Fully remote working environment with a flexible schedule.
- Comprehensive health, dental, and vision insurance coverage.
- Generous stock options and retirement savings plan.
- Opportunities for impactful work and professional growth in a leading mining analytics field.


