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Data Scientist - Gen Ai & Demand Forecast for Supply chain

Global Enterprise Partners

Posted on Jun 9, 2026 by Global Enterprise Partners
Not Specified, France
IT
Immediate Start
Annual Salary
Contract/Project

We're looking for Frelnacer Data Scientists to help transform supply chain operations using Machine Learning and Generative AI.

You'll work on demand forecasting solutions and agent-based tools to optimize processes from suppliers to end customers.

What you'll do

  • Build and scale AI/ML solutions
  • Improve supply chain processes
  • Collaborate with product, business, and users

What we're looking for

  • Strong experience in ML & Generative AI (LLMs, RAG, prompt engineering)
  • Solid Python and cloud expertise (GCP or AWS)
  • Experience deploying models at scale
  • Background in supply chain or forecasting is a plus
- > Strong experience in Python, Machine Learning and Generative AI (LLMs, RAG, prompt engineering), with hands-on expertise in cloud platforms (GCP or AWS), scalable model deployment, multi-agent systems, and modern development tools (Git, CI/CD, Streamlit).

Interested? Apply ASAP or send me an emial with your update CV.

Let op: vacaturefraude

Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
* Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
* Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.

Important: job fraud

Unfortunately, job fraud is becoming more common. Beware of such scams:
* We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
* If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.


Reference: 3120170212

https://jobs.careeraddict.com/post/113382178
Global Enterprise Partners

Data Scientist - Gen Ai & Demand Forecast for Supply chain

Global Enterprise Partners

Posted on Jun 9, 2026 by Global Enterprise Partners

Print
Not Specified, France
IT
Immediate Start
Annual Salary
Contract/Project

We're looking for Frelnacer Data Scientists to help transform supply chain operations using Machine Learning and Generative AI.

You'll work on demand forecasting solutions and agent-based tools to optimize processes from suppliers to end customers.

What you'll do

  • Build and scale AI/ML solutions
  • Improve supply chain processes
  • Collaborate with product, business, and users

What we're looking for

  • Strong experience in ML & Generative AI (LLMs, RAG, prompt engineering)
  • Solid Python and cloud expertise (GCP or AWS)
  • Experience deploying models at scale
  • Background in supply chain or forecasting is a plus
- > Strong experience in Python, Machine Learning and Generative AI (LLMs, RAG, prompt engineering), with hands-on expertise in cloud platforms (GCP or AWS), scalable model deployment, multi-agent systems, and modern development tools (Git, CI/CD, Streamlit).

Interested? Apply ASAP or send me an emial with your update CV.

Let op: vacaturefraude

Helaas komt vacaturefraude steeds vaker voor. We waarschuwen je voor mogelijke misleiding:
* Wij zullen nooit via WhatsApp of in een videogesprek vragen om jouw persoonlijke gegevens (zoals een kopie van je ID, bankgegevens of BSN).
* Twijfel je over de echtheid van een vacature of contactpersoon? Neem dan altijd rechtstreeks contact met ons op via de officiële contactgegevens op onze website.

Important: job fraud

Unfortunately, job fraud is becoming more common. Beware of such scams:
* We will never ask for personal information (such as a copy of your ID, bank details, or social security number) via WhatsApp or during a video call.
* If you're unsure whether a vacancy or contact person is legitimate, please reach out to us directly using the official contact details on our website.

Print

Reference: 3120170212

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