Moët Hennessy Data & Innovation Apprentice
- Location
- Employment
- Internship
- Seniority
- Intern
- Department
- IT & Technology Systems
- Industry
- Wines, Spirits & Gastronomy
- Posted
- Apr 29, 2026
About Moët Hennessy
Moët Hennessy, the wines and spirits division within the LVMH group, comprises an ensemble of prestigious maisons including Moët & Chandon, Hennessy, Dom Pérignon, Krug and others. The organisation blends luxury heritage with a global, innovation‑driven mindset and offers an international environment where creativity, technical excellence and collaboration are highly valued.
Moët Hennessy — Paris: Data & Innovation Apprentice (alternance) to develop Retool prototypes, Power BI dashboards and AI proofs of concept.
Role & Responsibilities
- Design, develop and document business application mockups and UX prototypes using Retool.
- Build and maintain data dashboards and visual reports in Power BI to support EMEA business teams.
- Contribute to AI proofs of concept and demonstrators, prototyping on Streamlit and Power BI.
- Test and evaluate public and internal AI tools (e.g., Copilot, LucIA, MaIA) and assess their applicability to business processes.
- Identify high‑value AI and data use cases across Houses and EMEA departments.
- Document best practices, limitations and opportunities for AI adoption and prepare internal training materials.
- Collaborate closely with the IT EMEA team and cross‑functional business stakeholders to deliver usable, production‑ready outputs.
- Support continuous improvement by defining and tracking KPIs for the IT EMEA team’s deliverables.
Qualifications
- Currently enrolled in a bachelor’s or master’s programme in data science, computer science, information systems, human‑computer interaction, or a related discipline.
- Familiarity with low‑code/no‑code platforms and data workflow tools (experience with Retool preferred).
- Knowledge or strong interest in BI and data visualization (Power BI is an advantage).
- Basic understanding of AI concepts and willingness to experiment with generative and enterprise AI tools.
- Fluent in French and English (oral and written).
- Attention to detail, visual sensibility for high‑quality deliverables, curiosity and proactive problem‑solving.
Skills
Experience
Entry‑level; suitable for students or recent graduates. No professional experience required beyond coursework or project work in BI, prototyping or AI.
Education
Enrolled in a relevant undergraduate or graduate programme (e.g., Data Science, Computer Science, Information Systems, HCI) — alternance/apprenticeship students will be prioritised.
Workplace
The successful candidate will be located in Paris, Île-de-France, France.
Culture
Moët Hennessy combines the heritage of luxury maisons with a dynamic, international workplace that prizes creativity, technical innovation and cross‑disciplinary collaboration. Teams operate with a craftsmanship mindset while embracing digital transformation and data‑driven decision making.
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
The luxury industry is characterised by a diverse and nuanced nomenclature. Esteemed houses frequently employ proprietary terminology, and even within a single organisation like Moët Hennessy, 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 «Data & Innovation Intern», «BI and Prototyping Apprentice», «Low‑Code Data Prototyper (Apprenticeship)», «AI & Data Visualization Intern», and other variations. Our sophisticated search architecture anticipates these variations, ensuring that inquiries using related terms will seamlessly yield the exact roles you desire.