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SBM Offshore N.V.
SBM Offshore N.V.

Senior Data Scientist

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Machine Learning
Data
Data Science
+36

Permanent role
7 days ago
Apply now

Imagine your career taking you to the depths of innovation and the heights of impact. Our people enable continuous progress. Their commitment, collective expertise, and unique capabilities are the engine room behind SBM Offshore’s True. Blue. Transition. - shaping the future of energy, and beyond.

About Us

SBM Offshore is a global leader in deepwater ocean infrastructure, delivering floating production solutions across the full asset lifecycle—from design and construction to installation and operation. Supported by a global team of more than 8,000 professionals, the Company operates a long-term, asset-backed business model that delivers high-availability assets and predictable cash flows. SBM Offshore combines engineering expertise, operational reliability, and selective innovation to support safe, efficient, and lower-carbon energy production, while extending its capabilities into new opportunities across the blue economy.

Purpose

  • As a Senior Data Scientist, you contribute to the design and delivery of data‑driven and AI‑powered solutions within the SBM Offshore Data and Information Management Team. You collaborate closely with cross‑functional teams—including data scientists, business intelligence developers, data architects, data engineers, enterprise architects, and business stakeholders—to transform complex operational challenges into scalable solutions based on advanced analytics, machine learning, AI, and Generative AI models.

Responsibilities

  • Design, develop, industrialize, and maintain end‑to‑end data science and AI solutions across data preparation, modeling, validation, and lifecycle management, primarily using Azure‑based data and AI technologies.
  • Develop and evaluate advanced analytical models, including statistical methods, machine learning, deep learning, computer vision, and large‑scale document processing pipelines, aligned with business and technical objectives.
  • Contribute to Generative AI initiatives, such as LLM‑based solutions, document intelligence, copilots, and automation agents, in alignment with enterprise AI governance, security, and compliance standards.
  • Ensure production readiness through performance assessment, robustness checks, and application of MLOps best practices.
  • Collaborate with stakeholders to clarify business needs, define success criteria, and translate use cases into deployable analytics solutions.
  • Build clear reports, and technical documentation to communicate results to both technical and non‑technical audiences.
  • Work in an agile environment using tools such as Azure DevOps, Git, and cloud-native services.

Education

  • Master's or Engineering program in Data Science/Computer Science/Applied Mathematics/or a related quantitative field.
  • Solid academic background in mathematics, statistics, machine learning and software engineering.
  • Fluent in spoken and written English.

Experience

  • At least 5 years of experience as Data Scientist or similar position.
  • 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 considerations.
  • Experience in computer vision and/or large document processing (OCR, document classification, information extraction).
  • Experience with time series analysis, prediction, abnormal behaviors detection.
  • Familiarity with Git, CI/CD, and production-grade ML workflows
  • Oil & Gas domain experience is preferred.
  • Strong analytical mindset, autonomy, attention to detail, and a collaborative, stakeholder‑oriented approach.

Functional Competencies

Analytics and reporting

IT Tools and application

Inspection, testing, commissioning and monitoring

Digital savvy

Management of change application

Innovation

Technical Data Management

GENERAL INFORMATION

SBM Offshore N.V. is a listed holding company that is headquartered in Amsterdam. It holds direct and indirect interests in other companies that collectively with SBM Offshore N.V. form the SBM Offshore Group (“the Company”). For further information, please visit our website at www.sbmoffshore.com. The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities.

SBM Offshore is proud to be an Equal Employment Opportunity and Affirmative Action employer. SBM Offshore does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

About SBM Offshore N.V.

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