Bvlgari Data Scientist

Employment
Full-Time
Seniority
Mid-Level
Compensation
€50,000/year
Industry
High Jewelry
Posted
Aug 4, 2026

About Bvlgari

Founded in Rome in 1884, Bvlgari is one of the world’s most distinctive luxury houses, celebrated for its bold Italian creativity, exceptional craftsmanship, and mastery of jewellery, watches, accessories, fragrances, and hospitality. As an employer, Bvlgari offers a refined, international environment where heritage and innovation meet, inviting talent to contribute to a culture of excellence, entrepreneurial spirit, and client-centric elegance. The Maison values diverse expertise, from artisanal savoir-faire to retail leadership and corporate functions, and encourages professional growth within the wider LVMH ecosystem. Working at Bvlgari means joining a Roman-born brand with a global vision and an enduring passion for beauty.

Bulgari seeks an experienced Data Scientist in Rome to design and deploy AI/ML solutions transforming business opportunities into scalable, value-generating data products.

Role & Responsibilities

  • Design, develop and validate advanced Machine Learning, Artificial Intelligence and predictive analytics models to address concrete business challenges and generate measurable business value
  • Build models for forecasting, recommendation, propensity/scoring, optimization, classification, clustering, anomaly detection, simulation and decision support
  • Analyse large, complex and heterogeneous datasets to identify patterns, drivers, risks, opportunities and actionable insights supporting strategic and operational decision-making
  • Apply statistical, econometric, machine learning and experimentation techniques, including model validation, performance evaluation and explainability approaches
  • Partner with business stakeholders and Data Factory actors to translate business needs into clear AI/ML problem statements, analytical approaches, success metrics and delivery priorities
  • Contribute to the qualification and prioritization of AI use cases by assessing feasibility, expected value, data readiness, scalability, risks and adoption requirements
  • Collaborate with business data teams and domain experts to ensure that model assumptions, input data, KPIs and outputs are meaningful, understandable and operationally usable
  • Design and improve scalable data science pipelines covering data preparation, feature engineering, experiment tracking, model training, validation, deployment and monitoring
  • Work with Data Engineering, Software Engineering, Enterprise Architecture and platform teams to integrate AI/ML solutions into production environments and enterprise applications
  • Ensure model lifecycle management practices, including versioning, reproducibility, CI/CD alignment, monitoring, drift detection, retraining triggers and controlled release management
  • Support the transition from proof of concept to production-grade AI products, avoiding isolated prototypes and contributing to reusable capabilities where appropriate
  • Contribute to the assessment, design and implementation of Generative AI and Agentic AI solutions, in collaboration with architecture, security, governance and business stakeholders
  • Evaluate the appropriate use of foundation models, RAG patterns, agents, orchestration frameworks, internal knowledge bases and business rules depending on the use case
  • Ensure AI solutions comply with internal governance, documentation, validation, security, privacy, data governance and Responsible AI standards throughout the lifecycle
  • Contribute to Responsible AI assessments, model documentation, auditability, transparency, explainability, human oversight and risk mitigation
  • Produce clear presentations, reports, dashboards and visual explanations to communicate technical findings, recommendations and business implications to technical and non-technical stakeholders

Qualifications

  • Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, Physics, Operations Research or another quantitative discipline
  • Proven experience in Data Science, Machine Learning, predictive analytics or applied AI in complex business and technology environments
  • Strong knowledge of statistics, supervised and unsupervised learning, predictive modelling, optimisation, experimentation and model validation
  • Advanced programming skills in Python and hands-on use of data science / ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch or equivalent
  • Strong SQL skills and experience working with large-scale data processing, cloud analytics and enterprise data platforms
  • Experience with model deployment, MLOps practices, CI/CD, Git-based version control, experiment tracking, model monitoring and reproducible development
  • Strong analytical and problem-solving skills, with the ability to translate complex business challenges into practical AI-driven solutions
  • Business curiosity and ability to understand processes, KPIs and decision flows before selecting technical solutions
  • Excellent communication and presentation skills, with the ability to explain complex technical topics to both technical and non-technical stakeholders
  • Strong collaboration and stakeholder management across multidisciplinary and international teams

Skills

Python Pandas NumPy Scikit-learn TensorFlow PyTorch SQL Git MLOps CI/CD Machine Learning Statistical Analysis Predictive Modelling Data Analysis Generative AI LLMs RAG Prompt Engineering LangChain OpenAI APIs Gemini

Experience

At least 5 years of proven experience in Data Science, Machine Learning, predictive analytics or applied AI in complex business and technology environments. Experience bringing analytical or AI solutions beyond experimentation into business adoption or production use is strongly preferred.

Education

Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, Engineering, Physics, Operations Research or another quantitative discipline.

Workplace

This position is based in Rome, Lazio, Italy.

Compensation

The base compensation for this position is EUR 50,000 per annum.

Benefits

Benefits provided by law in Italy under CCNL Terziario, Distribuzione e Servizi collective bargaining agreement; additional benefits may be granted in accordance with company policies.

Culture

Bvlgari fosters a dynamic, multicultural workplace where Italian heritage, Roman creativity, and exceptional craftsmanship shape every aspect of the employee experience. The Maison encourages entrepreneurship, collaboration, and a passion for excellence, offering teams the opportunity to contribute to a bold luxury vision across jewelry, watches, fragrances, accessories, and hospitality.

About Cerulean

Cerulean is the definitive career portal for the global luxury industry. We match exceptional professionals with exclusive opportunities at the world's most prestigious brands. From haute couture and fine watchmaking to prestige beauty, hospitality, and boutique retail, Cerulean centralises luxury employment to help you find the career for which you were destined.

Frequently Asked Questions

A.

The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Bvlgari, titles may vary across global markets to reflect local conventions. To ensure absolute clarity, Cerulean assigns a standardised, industry-coherent canonical title to every listing. However, it is worth noting that this role is functionally synonymous with «Machine Learning Specialist», «AI Solutions Architect», «Analytics Engineer», «Quantitative Analyst», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.

Bvlgari

Bvlgari Data Scientist

Rome, Italy

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