pThis Tempo pieno on site position offers great opportunities for career growth. /ppDescription: 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. /ph3About Us /h3pSBM 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. /ph3Purpose /h3pAs 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. /ph3Responsibilities /h3ulliDesign, 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.



/liliDevelop 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. /liliContribute 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. /liliEnsure production readiness through performance assessment, robustness checks, and application of MLOps best practices. /liliCollaborate with stakeholders to clarify business needs, define success criteria, and translate use cases into deployable analytics solutions. /liliBuild clear reports, and technical documentation to communicate results to both technical and non‑technical audiences. /liliWork in an agile environment using tools such as Azure DevOps, Git, and cloud-native services. /li /ulh3Education /h3pMaster's or Engineering program in Data Science/Computer Science/Applied Mathematics/or a related quantitative field. /ppSolid academic background in mathematics, statistics, machine learning and software engineering. /ppFluent in spoken and written English. /ph3Experience /h3ulliAt least 5 years of experience as Data Scientist or similar position. /liliProven experience developing Python‑based data science and machine learning solutions.



/liliExperience with Microsoft Azure (Azure ML, MS Foundry). /liliExperience with Generative AI, including LLMs, prompt engineering, RAG patterns, and AI governance considerations. /liliExperience in computer vision and/or large document processing (OCR, document classification, information extraction). /liliExperience with time series analysis, prediction, abnormal behaviors detection. /liliFamiliarity with Git, CI/CD, and production‑grade ML workflows. /liliOil Gas domain experience is preferred. /liliStrong analytical mindset, autonomy, attention to detail, and a collaborative, stakeholder‑oriented approach. /li /ulh3Functional Competencies /h3ulliAnalytics and reporting /liliIT Tools and application /liliInspection, testing, commissioning and monitoring /liliDigital savvy /liliManagement of change application /liliInnovation /liliTechnical Data Management /li /ulh3GENERAL INFORMATION /h3pSBM 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 The companies in which SBM Offshore N.V., directly and indirectly, owns investments are separate entities. /ppSBM Offshore is proud to be an Equal Employment Opportunity and Aff... employer. /ppSBM 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. /ppAll employment is decided on the basis of qualifications, merit, and business need. /p #J-18808-Ljbffr

📌 Senior Data Scientist at SBM Offshore (Italia)
🏢 SBM Offshore
📍 Italia