Moët Hennessy R&D Data Scientist Intern

Moët & Chandon, a prestigious house under the LVMH conglomerate, is renowned for its excellence in the production of fine wines and spirits. The company offers a dynamic and innovative environment, particularly within its state-of-the-art research facilities, where cutting-edge projects are undertaken to enhance the quality and sustainability of its products.

1. Conduct bibliographic research to enhance the expression of indicators, synthetic variables, and models suited to spectral and 'omics' data.
2. Perform audits and critical analyses of existing databases, and reprocess raw data signals when necessary.
3. Model data and adjust models to better understand underlying mechanisms and formulate hypotheses regarding explanatory synthesis pathways.
4. Synthesize and present results in a comprehensive format.

1. Bachelor's or Master's degree in Applied Mathematics, preferably with a focus on Life Sciences.
2. Proficiency in modeling and statistical tools, including data mining, statistical modeling, estimation, and prediction.
3. Strong database management and programming skills with appropriate languages.
4. Autonomy and ability to integrate into a multidisciplinary scientific environment.

1. Curiosity and active listening to contribute to methodological choices.
2. Rigor, reactivity, synthesis skills, and ability to report progress.
3. Excellent writing skills for protocols, reports, and syntheses.
4. Strong interest in biology, chemistry, and oenology, with a keen curiosity for data understanding.

No prior experience required, suitable for beginners.

Bachelor's or Master's degree in Applied Mathematics or equivalent.

Opportunity to work in a cutting-edge research environment with exposure to both national and international research initiatives.

The workplace culture at Moët & Chandon is one of innovation and excellence, where employees are encouraged to explore and apply their expertise in a collaborative and interdisciplinary setting. The company values curiosity, precision, and a commitment to sustainability and quality.