Position

Drive the design, development, validation and industrialization of Data Science, Machine Learning and Artificial Intelligence solutions that transform business opportunities into scalable, governed and value-generating Data & AI products. Within the central Data & AI Product Unit, the Data Scientist partners with business stakeholders, Data Architects, Data Engineers, Data Domain Owners, Business Product Owners and Data Governance teams to identify high-value AI/ML use cases, build robust analytical solutions, and integrate them into enterprise processes and platforms. The role contributes to the Data & AI transformation agenda by combining statistical rigour, technical excellence, business understanding, Responsible AI principles and production-oriented delivery across traditional AI/ML, Generative AI and Agentic AI initiatives.

Job 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 where applicable.




- 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.
- Support adoption by explaining how AI/ML outputs should be interpreted and embedded in business processes.

Profile

Technical Skills

- 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.
- Experience bringing analytical or AI solutions beyond experimentation into business adoption or production use is strongly preferred.
- 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.
- Familiarity with Generative AI, LLMs, RAG,



prompt engineering, agentic patterns and frameworks such as OpenAI APIs, Gemini, LangChain or equivalent is a strong advantage.

Soft Skills

- 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.
- Curiosity, innovation mindset and passion for emerging AI technologies, while maintaining rigour, pragmatism and delivery focus.
- High ownership, accountability and commitment to quality, documentation and continuous improvement.

Additional information

For new joiners in this role in Italy, the initial annual gross salary is EUR 50.000.

This salary has been determined on the basis of objective and gender-neutral criteria and corresponds to the compensation normally granted for this position at the time of publication of this job posting. Actual compensation may vary depending on factors such as your unique combination of experience and skills, seniority, and current organizational needs.

In addition to the benefits provided by law, further benefits may be granted in accordance with current company policies.

The employment relationship will be governed by the provisions of the applicable national collective bargaining agreement (CCNL Terziario, Distribuzione e Servizi), as applied by Bulgari in Italy.

BVLGARI
MAISON

Bvlgari was founded in the heart of Rome in 1884. Over the decades, the Brand has established a worldwide reputation as magnificent Roman High Jeweler and icon of Italian art of living.
Through a pioneering vision, the company’s international success has evolved into a global and diversified luxury purveyor of products and services, ranging from fine jewels and high-end watches to accessories and perfumes, and featuring an extended network of boutiques and hotels.
Demonstrated through its numerous philanthropic partnerships, Bvlgari deeply believes in innovating the present for a sustainable future through its commitment to Social & Environmental Responsibility and giving back – to nature and to the community. In 2024 the Maison announced the creation of Fondazione Bvlgari , reinforcing its devotion to building a meaningful tomorrow through care, generosity and long-term dedication.

📌 Data Scientist (Italia)
🏢 Bulgari
📍 Italia