Hermès Data Science Apprentice
Hermès International, a distinguished French maison since 1837, is renowned for its craftsmanship and high-quality creations. As a family-owned and independent enterprise, Hermès employs nearly 20,000 individuals globally. The company fosters a spirit of entrepreneurship and a commitment to excellence, encouraging freedom and autonomy through responsible management. Hermès is dedicated to preserving exceptional savoir-faire, deeply rooted in respect for people and nature, which is the source of its exquisite materials. The brand's creativity is fueled by fifteen artisanal métiers, with collections showcased in over 300 stores worldwide.
- Enhance the integration of Data Science within the Retail sector by refining existing AI projects and developing new Machine Learning algorithms for customer relations and retail.
- Promote and facilitate the use of Artificial Intelligence in retail by identifying and highlighting AI use cases.
- Monitor commercial performance by assisting the Retail Data team in conducting AD HOC studies for production entities and distribution subsidiaries.
- Support Data Analysts in creating and improving reports for distribution subsidiaries and production entities.
- Conduct qualitative research on Data Science innovations applicable to Retail, centralizing and disseminating new algorithmic methodologies to the team.
- Currently pursuing a Master's degree (Bac +4/5) in Statistics or Data Science from a prestigious university or grande école.
- Proficiency in database management and programming languages such as SQL and Python.
- Familiarity with AWS environment and components like Sagemaker is advantageous.
- Knowledge of PowerBI is a plus.
- Fluent in English, both written and spoken.
- Analytical and synthesis skills
- Curiosity and adaptability
- Proficiency in SQL and Python
- Familiarity with AWS and PowerBI
- Strong communication skills in English
No specific professional experience required, but relevant academic projects or internships in Data Science or related fields are beneficial.
Pursuing a Master's degree in Statistics or Data Science.
The position offers an opportunity to work with a prestigious luxury brand, gaining valuable experience in the application of Data Science in retail.
Hermès is committed to ethical practices, diversity, and inclusion, fostering a human-centric work environment that values creativity and innovation.


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