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Tue Jul 01 2025
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ASL GenAI Data Scientist

Nestlé

Spain (Esplugues de Llobregat) Hybrid

English

Employment Type: Full-time
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Job Description

We are looking for a ASL GenAI Data Scientist to be part of our IT Analytics, Data and Integration team.

Position Snapshot

  • Location: Esplugues de Llobregat
  • Type of Contract: Permanent
  • Stream: IT Analytics, Data and Integration
  • Type of work: Hybrid
  • Work Language: Fluent Business English

The role
As a Generative AI Data Scientist, your role will involve addressing complex business challenges and enhancing Generative AI capabilities across multiple Nestle Business Entities. You will collaborate with diverse business users throughout the enterprise to facilitate the creation and development of business cases, utilizing generative AI to uncover valuable insights. Your expertise in generative AI and machine learning will position you as a trusted advisor to stakeholders, users, and super-users.

What You’ll Do

  • Be the reference on Generative AI and Data Science for the ASL team and willing to help.
  • Partner with Market functions, Globally and Regionally Managed Businesses, and Above Market entities to develop and deliver Generative AI advanced analytics initiatives.
  • Provide advisory services and promote data science capabilities within Nestle, staying updated on data science trends.
  • Collaborate with other Business Analytics teams and networks to leverage new data sources for developing market insights.
  • Conduct end-to-end analyses, including data gathering, processing, analysis techniques, and presenting findings to internal stakeholders.

We offer you
We offer more than just a job. We put people first and inspire you to become the best version of yourself:

  • Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
  • Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
  • Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
  • Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Minimum qualifications:

  • Bachelors or Master’s degree in STEM (Computer Science, Engineering, Maths, Physics, or related discipline)
  • +5 years of experience in Data Analytics.
  • Experience working with LLMs (language model), such as OpenAI’s models (GPT3 and GPT4), Mistral, Llama or Gemini.
  • At least 8 years of experience working in a coding language such as R, SQL Server, Python or similar language.

Not a 100% match? No worries! Nestlé supports your personal growth with customized development solutions.

What you can expect in your application journey:

  • Hit apply and enter our job portal. 2. Submit your application with your CV. 3. We will contact relevant applicants. 4. Interviews (HR, Hiring team and stakeholders).
  • Feedback.
  • We make an offer.
  • Location dependent checks and pre-onboarding.
  • First working day.
Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

We are Nestlé, the largest food and beverage company with brands including KitKat, Nescafé, Maggi, Purina, among many others. We are approximately 275,000 employees strong, motivated by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 94.4 billion sales, we have an expansive presence, with 344 factories in 77 countries. Want to learn more?

Visit us at www.nestle.com

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

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