Remote Senior Data Scientist - Mining Analytics

Placements24; Southampton; Hybrid; GBP 90,000 - 145,000; Full time

Job summary

Placements24 seeks a Senior Data Scientist to join a global mining-focused team. The role is remote and requires applying advanced analytics, ML, and statistics to exploration, production, safety, and environmental data.

You will build predictive models, work with engineers and geologists, and communicate results through dashboards, empowering data-driven decisions across a worldwide portfolio.

Qualifications

• PhD or Master's in a quantitative field with strong research background.
• 5+ years as a Data Scientist focusing on ML and statistics.
• Proficiency in Python or R and key ML libraries.
• Experience with big data tech (Spark/Hadoop) and SQL.

Responsibilities

• Develop and deploy ML models for predictive analytics in mining.
• Design statistical analyses to identify data trends and insights.
• Collaborate with geologists and engineers to translate problems into models.
• Create dashboards to communicate findings to diverse stakeholders.
• Integrate diverse data sources while ensuring data quality.

Skills

Python

R

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

SQL

Education

PhD in Data Science

Master's in related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

About the Role

Our client is seeking a highly skilled Senior Data Scientist to join their innovative team, working remotely to support their mining operations. In this role, you will leverage advanced analytics, machine learning, and statistical modeling to extract valuable insights from vast datasets related to exploration, production, safety, and environmental impact. You will play a key part in developing data-driven strategies to optimize resource extraction, improve operational efficiency, and enhance safety protocols across their global mining portfolio. This is an exceptional opportunity to work from anywhere while contributing to cutting-edge data science applications in the mining industry.

Key Responsibilities

• Develop and deploy machine learning models for predictive maintenance, production forecasting, and ore grade estimation.
• Design and implement statistical analysis frameworks to identify trends and patterns in operational data.
• Collaborate with geologists, engineers, and operations managers to understand data needs and translate business problems into analytical solutions.
• Build data visualizations and dashboards to communicate complex findings to both technical and non-technical stakeholders.
• Explore and integrate diverse data sources, ensuring data quality and integrity.
• Stay abreast of the latest advancements in data science, AI, and machine learning relevant to the mining sector.

Requirements

• Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 5+ years of professional experience as a Data Scientist, with a strong focus on machine learning and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proven ability to work independently and manage projects in a remote setting.
• Excellent communication and presentation skills.

Benefits

• Highly competitive salary and performance-based bonuses.
• Flexible remote work environment with full autonomy.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and conference attendance allowance.
• Opportunity to work on impactful projects that shape the future of mining technology.