IT Infrastructure & AI Intern

Posted 2 Days Ago
Be an Early Applicant
Via Carlottina, Novara, ITA
In-Office
Internship
Fashion • Retail
The Role
Supports the IS&T Infrastructure team and Global Head of IT Infrastructure in developing, testing, and refining an internal AI model. Responsibilities include connecting company systems and data sources, preparing and validating data, analyzing model performance, testing business use cases, exploring AI capabilities, and documenting project results. The role is intended for a student or recent graduate seeking practical experience in AI, data, and IT infrastructure.
Summary Generated by Built In

Lavorare per Stella McCartney è un'esperienza davvero gratificante. In qualità di azienda operante nell'industria della moda di lusso con un forte profilo etico, siamo leader e innovatori nel settore. 


Role Overview:

 

We are looking for an IT Infrastructure & AI Intern to join our IS&T team based in Novara.

Working closely with the Global Head of IT Infrastructure, the role will be focused on supporting the development and refinement of an internal AI model designed to integrate and access information from different company systems and data sources, including Business Intelligence, Stealth, Workday and Esker.

The role will support the testing and development of the model, helping improve how data can be retrieved, connected and analysed through AI.

This is a good opportunity for a student or recent graduate looking to gain practical experience in AI and data within an international business environment, while working directly on a real internal AI project.

 

Key Responsibilities:

 

  • Support the IS&T Infrastructure team across ongoing infrastructure projects and activities, with a primary focus on the development of a new internal AI solution.
  • Work closely with the Global Head of IT Infrastructure on the development, testing and continuous improvement of the AI model.
  • Contribute to connecting the AI solution with different company systems and data sources, including Business Intelligence, Stealth, Workday and Esker.
  • Support data preparation, validation and analysis to help train, test and refine the model.
  • Test the AI model across real business scenarios, helping identify opportunities to improve the accuracy and relevance of its outputs.
  • Contribute to exploring new AI capabilities and use cases, helping shape how the solution can be applied across different areas of the business.
  • Help document key developments, testing results and learnings throughout the project

Key Requirements

  • Currently completing or recently completed a degree in Computer Science, Computer Engineering, Information Engineering, Data Science, Artificial Intelligence or a related field.
  • Strong interest in Artificial Intelligence, data and emerging technologies.
  • Basic understanding of IT systems, data and digital technologies.
  • Analytical mindset with a logical and structured approach to problem solving.
  • Curious and proactive, with a willingness to learn and experiment with new technologies.
  • Good attention to detail and ability to work accurately with data.
  • Ability to work collaboratively within a team and communicate effectively with both technical and non-technical colleagues.
  • Good level of written and spoken English.

A noi di Stella McCartney piace essere audaci. Ciò significa sfidare sé stessi e il settore in cui lavoriamo. Come parte dei nostri impegni per una moda sostenibile, abbiamo una strategia ambiziosa e l’obiettivo di mettere al centro di tutto ciò che facciamo la diversità, l’uguaglianza e l’inclusione. Il nostro punto di partenza è creare uno spazio di lavoro in cui voci diverse siano rispettate, ascoltate e alimentate in modo equo, a prescindere da fattori culturali e sociali. Desideriamo inoltre influenzare e capovolgere la moda e altri settori, facendo splendere talenti internazionali e vari


Diamo il benvenuto a persone con disabilità e facciamo si che ciò avvenga nel modo migliore. Se ha particolari indicazioni per l'incontro ce lo può comunicare entro le 48 ore dal colloquio.


Skills Required

  • Currently completing or recently completed a degree in Computer Science, Computer Engineering, Information Engineering, Data Science, Artificial Intelligence, or a related field
  • Strong interest in artificial intelligence, data, and emerging technologies
  • Basic understanding of IT systems, data, and digital technologies
  • Analytical mindset with a logical and structured approach to problem solving
  • Curiosity and willingness to learn and experiment with new technologies
  • Strong attention to detail and ability to work accurately with data
  • Ability to collaborate within a team and communicate with technical and non-technical colleagues
  • Good written and spoken English
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The Company
HQ: London
682 Employees
Year Founded: 2001

What We Do

Stella McCartney is a luxury lifestyle brand that was launched under the designer’s name in 2001. It emboldens confident femininity with elevated yet effortless, conscious fashion. The brand is committed to being an ethical and modern company, believing it is responsible for the resources it uses and the impact it has on the environment. It is therefore constantly innovating new ways to become more sustainable, from designing to store practices and product manufacturing. As a lifelong vegetarian, Stella McCartney never uses any leather, feathers, fur or skins in any products for both ethical and environmental reasons – pioneering a movement for the use of alternative materials. Supporting regenerative agriculture and circularity, the brand is embracing new business models that will transform how clothes are sourced, produced, sold, shared, repaired and reused, promoting long-lasting products with extended use to reduce environmental impact.   Today, Stella McCartney spans women’s ready to wear, unisex capsules, kids’ clothing, accessories, swimwear, lingerie, a performance wear collaboration with adidas, STELLA skincare and more – with 48 directly owned stores and 21 franchise stores across New York City, London, Paris, Milan, Tokyo, Shanghai and Beijing. Our collections are now sold in 77 nations through 863 specialty shops and department stores, and ship to 100 countries via online.

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