Lead Data Scientist - Mining Analytics

About the Role

Our client is seeking a visionary Lead Data Scientist to spearhead their advanced analytics initiatives within the mining sector . This fully remote role, based out of Manchester, England , will focus on leveraging vast datasets to uncover insights, optimize mining processes, predict equipment failures, and enhance resource exploration. You will lead a team of data scientists and engineers, defining the roadmap for data-driven decision-making and fostering a culture of innovation. This is a unique opportunity to shape the future of mining through cutting-edge data science and artificial intelligence, working from the comfort of your own home with a globally distributed team.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning models and statistical analyses for mining applications .
• Develop predictive models for ore body identification, grade prediction, and production forecasting.
• Build and maintain robust data pipelines for ingesting, cleaning, and transforming large, complex datasets from various sources.
• Mentor and guide a team of data scientists, fostering technical growth and best practices in data science .
• Collaborate with geologists, engineers, and operations managers to identify key business challenges and opportunities addressable by data science.
• Communicate complex findings and recommendations to both technical and non-technical stakeholders through compelling visualizations and presentations.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
• 8+ years of experience in data science and machine learning , with at least 2 years in a lead or management role.
• Expertise in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Experience in the natural resources or mining industry is highly preferred.
• Strong leadership, project management, and communication skills.

Benefits

• Competitive salary and performance-based bonuses.
• Flexible remote working arrangements with a home office stipend.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Access to cutting-edge technology and professional development resources.
• A collaborative and forward-thinking virtual work environment.