Chanel Data Science and Predictive Modeling Intern

Pantin Île-de-France France

Employment
Internship
Seniority
Intern
Posted
Nov 2, 2026

About Chanel

Chanel is one of the world’s most revered luxury houses, founded by Gabrielle Chanel and distinguished by an enduring vision of elegance, freedom, and modernity. As an employer, the House brings together métiers ranging from haute couture, fashion and leather goods to fragrance, beauty, watches, and fine jewelry, offering employees the opportunity to contribute to a legacy defined by exceptional craftsmanship and creative audacity. Chanel values excellence, discretion, collaboration, and long-term development, fostering an environment where talent is nurtured and heritage is continually reinterpreted for contemporary clients. Its teams are united by a commitment to quality, innovation, and the timeless spirit of the brand.

Chanel is seeking a Data Science and Predictive Modeling Intern for a six-month internship beginning in February 2027, supporting its Biostatistics and Epidemiology Research team. The intern will develop and evaluate data science, predictive modeling, and image-analysis approaches using complex research data, with an emphasis on robust, interpretable models and strict confidentiality.

Role & Responsibilities

  • Contribute to developing and evaluating data science and predictive modeling methods applied to research data.
  • Explore and analyze different types of data, including quantitative data and images, to identify relevant information and factors associated with the phenomena studied.
  • Develop, test, and compare statistical and machine learning, deep learning, and AI approaches.
  • Contribute to model interpretation, assess model robustness, and understand the key factors influencing predictions.
  • Participate in the analysis, visualization, and scientific interpretation of results in collaboration with research teams.

Qualifications

  • Bac+5 qualification from an engineering school specializing in data science, or a Master 2 in data science, biostatistics, applied mathematics, or artificial intelligence.
  • Good command of Python and a solid foundation in statistics, machine learning, and predictive model evaluation.
  • Experience in image-based deep learning, PyTorch or TensorFlow, and OpenCV is highly valued.
  • Programming autonomy and the ability to build, validate, and interpret a complete image-modeling pipeline.
  • R is an advantage for complementary statistical analyses and results visualization.
  • Strict confidentiality is essential when working with non-public data and research topics.

Skills

Python Machine learning Deep learning Artificial intelligence PyTorch TensorFlow OpenCV R Statistical analysis Predictive modeling Image analysis Data visualization Model evaluation and interpretation

Education

Bac+5 qualification from an engineering school specializing in data science, or a Master 2 in data science, biostatistics, applied mathematics, or artificial intelligence.

Workplace

This position is based in Pantin, Île-de-France, France, within easy reach of Paris.

The setting Île-de-France

Explore jobs in Île-de-France or in France.

Culture

Chanel fosters a culture of timeless creativity, exacting craftsmanship, and quiet excellence, where employees are encouraged to uphold the house’s heritage while contributing to its continued innovation. The workplace environment is refined, collaborative, and deeply committed to quality, offering professionals the opportunity to grow within a globally respected maison that values discretion, artistry, and long-term vision.

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 Chanel, 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 «Machine Learning Intern», «Data Analytics Intern», «Predictive Analytics Intern», «Artificial Intelligence 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.

Chanel

Chanel Data Science and Predictive Modeling Intern

Pantin, France

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