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Master in Comunicazione e Giornalismo Sportivo

Fincantieri Spa > offerta di lavoro n. 239169

immagine: lavoro con Fincantieri Spa

Business Intelligence Lead

> 898

Assunzione alle dipendenze

Tempo indeterminato

regime orario
Full time

luogo di lavoro
IT Friuli Venezia Giulia, Trieste

area professionale
Sistemi informativi, Business Intelligence

livello professionale

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Descrizione della posizione

The Team Lead Business Intelligence will be key in the rollout of Business Intelligence across Fincantieri and the development of a data science team 

  • Define and execute Business Intelligence and AI Vision, Architecture, and Roadmap
  • Establish and promote guiding principles and governance
  • Manage and own the design, development and support for the BI Platform based on Cloud (Azure with PowerBI)
  • Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights
  • Address complex analytics, predictive, simulation and optimization scenarios leveraging on Machine Learning, Artificial Intelligence methodologies and programmatic tools
  • Developing insightful dashboard to enable faster decision making
  • Able to write production level code, which is well-written and explainable
  • Manage the end-to-end modeling lifecycle from prototyping to industrialization: discovery, training, testing, serving, monitoring
  • Mentoring young data scientists in the team
  • Create documentation, process flows and architecture diagrams related to BI & AI Solutions developed
  • Presenting the results to technical and non- technical audiences



  • Experience with Azure Data Factory, Azure Data Lake, DataBricks, Synape, Azure analysis Services and Power BI
  • Excellent analytical and problem-solving skills
  • Expert level experience with the mathematical foundations of modern machine learning/AI algorithms and statistics
  • Knowledge of Deep Learning models and open source frameworks (Keras, TensorFlow, PyTorch)
  • Fluency in coding using Python and experience in Python data analysis libraries
  • Preferred experience with Natural Language and Cognitive applications
  • A Fluent English (Italian is not mandatory)
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