Upstream Data Scientist

About the Role

Our client is looking for an innovative Upstream Data Scientist to join their team in Cambridge . This role is pivotal in leveraging advanced data analytics, machine learning, and AI techniques to drive efficiency and discovery in their exploration and production (E&P) operations. You will work with large, complex datasets from seismic, well logs, production, and operational data to uncover insights, build predictive models, and optimize decision-making across the upstream oil and gas value chain. This is an exciting opportunity to shape the future of data-driven operations.

Key Responsibilities

• Develop and implement machine learning models for reservoir characterization, production forecasting, and anomaly detection.
• Process, clean, and analyze diverse upstream datasets, including seismic, geological, and production data.
• Collaborate with geoscientists, reservoir engineers, and production engineers to identify data-driven opportunities.
• Build data visualizations and dashboards to communicate complex findings to technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, AI, and their applications in the oil and gas industry.
• Contribute to the development of data strategies and best practices within the E&P domain.

Requirements

• Master's or PhD in Data Science, Computer Science, Statistics, Physics, or a related quantitative field.
• 3+ years of experience as a Data Scientist, with a focus on upstream oil and gas applications.
• Proficiency in programming languages such as Python or R, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark) and cloud platforms (e.g., AWS, Azure).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent problem-solving skills and ability to translate business needs into analytical solutions.

Benefits

• Competitive salary and performance bonus.
• Comprehensive health, dental, and vision insurance.
• Opportunities for advanced training and conference participation.
• Collaborative research environment with leading experts.
• Generous pension scheme and paid time off.