Join our team as a Data Scientist!

To do real data science, you need more than algorithms — you need real data and real impact.

At Ahold Delhaize, you’ll work with rich, complex financial data across multiple European brands. Together with an experienced analytics team, you’ll build machine learning solutions that are developed, tested, and used in real business workflows, supporting decision-making, logistics planning, and operational processe.

This role gives you the opportunity to grow at a sustainable pace — gradually taking ownership of data sources and models, learning through collaboration, and seeing how your work creates measurable business value.

About Ahold Delhaize

We’re Ahold Delhaize, one of the world’s largest food retail groups and a leader in both supermarkets and e-commerce. Together with our 17 strong local retail brands in the United States, Europe and Indonesia, we make a meaningful difference in the lives of our brands’ customers, our people and the world around us. We offer a highly dynamic, international work environment in which our associates thrive. 

Your new work environment

You will join our Reporting & Analytics team, collaborating closely with colleagues in Serbia and the Netherlands.

While part of the team focuses on reporting, the analytics stream operates as a true data science unit, developing machine learning–based solutions in the financial domain. The team is growing, collaborative, and impact-driven, with a strong mix of junior, medior, and senior profiles.

Your role is diverse and combines data analysis, machine learning, and close collaboration with the business.

Key Responsibilities:

-Analyze large and complex financial datasets to generate actionable insights and support data‑driven decision‑making
-Develop, test, and deploy machine learning models for real‑world use cases (e.g., classification, forecasting, automation)
-Translate analytical findings into clear, concise insights and visualizations for both business and technical stakeholders
-Automate data flows and analytical processes to improve efficiency and reduce manual work
-Build and maintain data models in accordance with data governance standards, partnering closely with both the analytics and reporting teams
-Contribute to the development of scalable and reliable financial reporting and analytics solutions used across multiple brands and countries
-Collaborate with cross‑functional teams to ensure solutions address real business needs

Requirements:

-Strong knowledge of Python and SQL
-Experience with Databricks or similar data platforms
-1–3 years of relevant experience 
-Practical experience with machine learning models
-Degree in a technical or quantitative field (Engineering, Mathematics, Statistics, Physics, Computer Science)
-Strong analytical and problem‑solving skills
-Collaborative mindset and openness to feedback
-Clear communication and ability to understand business needs
-Excellent command of English

If you’re excited to turn data into meaningful solutions and grow your expertise, this is your chance — we’d love to hear from you. You can apply until March 4th, 2026.

Aside from what we ask of you in this role, we also have a great deal to offer you: plenty of growth opportunities and various cross-brand career options; flexible working hours; a hybrid working model; and the chance to drive meaningful change on a global scale. You can look forward to a good work-life balance, and the chance to work in an inclusive environment that wholeheartedly encourages growth and welcomes you just the way you are. 

Plus:

-Minimum 26 days of paid annual leave 
-Indefinite contract 
-Hybrid working – 2 days in the office, 3 days remote. 
-Flexible working hours 
-+20 other MAXI Benefits!