Senior Subsurface Data Scientist

About the Role

Our client is seeking a highly analytical Senior Subsurface Data Scientist to join their innovative team in Glasgow . In this pivotal role, you will leverage advanced data science techniques and machine learning algorithms to extract actionable insights from vast subsurface datasets, driving more informed decision-making across exploration and production activities in the energy sector . You will collaborate closely with geoscientists, reservoir engineers, and IT professionals to develop and deploy cutting-edge data solutions. This is an outstanding opportunity to work with large-scale, complex data and apply state-of-the-art methodologies to solve challenging problems.

Key Responsibilities

• Develop, implement, and validate machine learning models for subsurface applications, such as seismic interpretation, property prediction, and production forecasting.
• Clean, process, and manage large volumes of heterogeneous subsurface data (seismic, well logs, production data, core data).
• Design and conduct exploratory data analysis to identify trends, patterns, and anomalies in subsurface datasets.
• Collaborate with domain experts to define data science problems and translate business needs into technical solutions.
• Build and maintain robust data pipelines and workflows for model deployment and monitoring.
• Communicate complex technical findings and insights clearly to both technical and non-technical audiences.

Requirements

• PhD or Master's degree in Data Science, Computer Science, Statistics, Physics, or a related quantitative field.
• Minimum of 6 years of professional experience in data science, with a strong focus on applying ML to subsurface challenges.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques.

Benefits

• Highly competitive salary with potential for annual bonuses.
• Comprehensive health, dental, and vision insurance package.
• Generous vacation allowance and paid holidays.
• Opportunities for continuous learning, attending conferences, and professional growth.
• A forward-thinking, inclusive work environment fostering innovation in the energy industry .