Closed Applications No Longer Accepted
Nota Bene: This job opportunity at Moët Hennessy was available until Sunday, January 25, 2026, but applications are no longer being accepted.
Moët Hennessy Intern - RDI Data Scientist Assistant
Moët Hennessy, a prestigious entity within the LVMH Group, is renowned for its excellence in the wines and spirits sector. The Robert-Jean de Vogüé Research Center, inaugurated in June 2021, serves as a hub for innovative research and development, addressing the diverse needs of LVMH's wine and spirits maisons.
- Conduct bibliographic research to enhance the expression of indicators and models suited to spectral and 'omics' data.
- Perform audits and critical analyses of existing databases, including signal reprocessing from raw data when necessary.
- Model data and adjust models to better understand underlying mechanisms and formulate hypotheses on synthesis pathways.
- Synthesize and present results in a comprehensive manner.
- Pursuing a Master's degree (BAC+4/5) in Applied Mathematics or a related field, preferably with a focus on life sciences.
- Proficiency in modeling and statistical tools (data mining, statistical modeling, estimation, prediction).
- Expertise in database manipulation and programming with appropriate languages.
- Autonomous and pedagogical, with the ability to integrate into a multidisciplinary scientific environment.
- Curiosity and attentiveness, actively participating in methodological choices.
- Strong analytical, reporting, and synthesis skills.
- Excellent writing skills for protocols, reports, and summaries.
- Interest in biology, chemistry, and oenology, with a strong curiosity for data interpretation.
No prior professional experience required, suitable for beginners.
Currently pursuing a Master's degree in Applied Mathematics or a related field.
Opportunity to work in a dynamic and innovative research environment with exposure to international research initiatives.
The Robert-Jean de Vogüé Research Center fosters a culture of innovation and collaboration, bridging applied research with practical applications in the field. It offers a stimulating environment that encourages the development of both technical and soft skills.
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