Senior Data Scientist

About the role

SBM Offshore, a global leader in deepwater ocean infrastructure, is looking for a Senior Data Scientist to join its Data and Information Management Team. You will help design and deliver data-driven and AI-powered solutions, working with data scientists, business intelligence developers, data architects, data engineers, enterprise architects and business stakeholders to turn complex operational challenges into scalable solutions based on advanced analytics, machine learning, AI and Generative AI.

Key responsibilities

• Design, develop, industrialize and maintain end-to-end data science and AI solutions, covering data preparation, modeling, validation and lifecycle management, mainly with Azure-based technologies.
• Develop and evaluate advanced analytical models, including statistical methods, machine learning, deep learning, computer vision and large-scale document processing pipelines.
• Contribute to Generative AI initiatives such as LLM-based solutions, document intelligence, copilots and automation agents, in line with enterprise AI governance, security and compliance.
• Ensure production readiness through performance assessment, robustness checks and MLOps best practices.
• Work with stakeholders to define success criteria and turn use cases into deployable analytics solutions.
• Produce clear reports and technical documentation for technical and non-technical audiences.
• Work in an agile environment using Azure DevOps, Git and cloud-native services.

Required profile

• Master's or engineering degree in Data Science, Computer Science, Applied Mathematics or a related quantitative field.
• Solid academic background in mathematics, statistics, machine learning and software engineering.
• Fluent spoken and written English.
• At least 5 years of experience as a Data Scientist or similar position.
• Oil and gas domain experience is preferred.

Required skills

• Proven experience developing Python-based data science and machine learning solutions.
• Experience with Microsoft Azure (Azure ML, MS Foundry).
• Experience with Generative AI, including LLMs, prompt engineering, RAG patterns and AI governance.
• Experience in computer vision and/or large document processing (OCR, document classification, information extraction).
• Experience with time series analysis, prediction and anomaly detection.
• Familiarity with Git, CI/CD and production-grade ML workflows.