HubMub
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Apple

Data Scientist, Supply Chain (EMEIA)

Apple
Ireland · Full-time · Entry
Summary

Apple is where individual imaginations gather together, committing to the values that lead to

great work. It’s the diversity of our people and their thinking that inspires the innovation that

runs through everything we do. Here, you’ll do more than join something, you’ll add

something.

Description

We are looking for a Data Scientist to join our EMEIA Supply Chain team who can bridge

traditional machine learning with modern Generative AI. You will apply advanced analytics,

statistical modelling, and LLM-driven solutions to high-impact supply chain challenges at

scale. If you’re equally comfortable building a classical forecasting model as you are

architecting an LLM-powered application, we’d love to hear from you.

Responsibilities

  • Develop and deploy machine learning models (supervised, unsupervised, and deep
  • learning) for supply chain use cases including demand forecasting, inventory
  • optimisation, and logistics planning.
  • Design and build Generative AI applications leveraging Large Language Models,
  • including RAG pipelines, prompt engineering, and fine-tuning for domain-specific
  • supply chain problems.
  • Architect end-to-end data science solutions from concept through production
  • deployment, blending open-source technologies with Apple’s proprietary
  • infrastructure.
  • Evaluate business needs through close collaboration with EMEIA supply chain
  • stakeholders, and present findings and recommendations to leadership in clear, non-
  • technical terms.

Minimum Qualifications

  • 5+ years of experience in data science or machine learning, preferably within supply
  • chain, operations, or a related domain.
  • Strong proficiency in Python for data science, including libraries such as pandas,
  • scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of both supervised and unsupervised machine learning
  • techniques including regression, classification, clustering, time-series forecasting,
  • and deep learning.
  • Experience with SQL and modern data platforms for querying, transforming, and
  • managing large-scale datasets

Preferred Qualifications

  • Hands-on experience with Large Language Models including prompt engineering,
  • fine-tuning, and building LLM-powered applications using RAG architectures, vector
  • databases, and embedding models.
  • Familiarity with agentic AI patterns and orchestration frameworks (e.g., LangChain,
  • LlamaIndex, CrewAI, or similar).
  • Experience developing APIs or service layers (e.g., FastAPI, Flask) and exposure to
  • front-end frameworks (e.g., React, Streamlit) for building interactive data
  • applications.
  • Knowledge of MLOps practices including model versioning, monitoring, and CI/CD
  • for ML pipelines.
  • Education & Experience
  • BSc or equivalent in Computer Science, Mathematics, Statistics, Operations
  • Research, Engineering, Physics, or a related quantitative field.
  • MSc or PhD in a quantitative discipline is preferred but not required; equivalent
  • professional experience will be considered.
  • Foundational understanding of Generative AI concepts is expected; formal training or
  • certifications in AI/ML are a plus.

Key Skills

Ranked by relevance

ai machine learning tensorflow streamlit fastapi python react flask mlops sql
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Country Guide

Ireland

English-speaking EU tech hub

Posted
Feb 23, 2026
Type
Full-time
Level
Entry
Location
Cork
Company
Apple

Industries

Computers Electronics Manufacturing

Categories

Engineering Information Technology

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