Data Scientist

Data Scientist at Ahold Delhaize

Join our team as a Data Scientist and leverage real data to create real impact. At Ahold Delhaize, you will engage with rich, complex financial data across various European brands. Working alongside an experienced analytics team, you will develop machine learning solutions that are rigorously tested and integrated into real business workflows. These solutions will support crucial decision-making, optimize logistics planning, and streamline operational processes.

This role is designed for sustainable growth, offering you the chance to gradually assume ownership of data sources and models, learn through collaborative efforts, and observe the measurable business value your work generates.

About Ahold Delhaize

Ahold Delhaize stands as one of the world's largest food retail groups, leading in both supermarkets and e-commerce. Collaborating with our 17 robust local retail brands across the United States, Europe, and Indonesia, we significantly impact the lives of our customers, our employees, and the global community. We foster a highly dynamic, international work environment where our associates can thrive.

Your New Work Environment

You will be an integral part of our Reporting & Analytics team, working closely with colleagues situated in Serbia and the Netherlands. While a portion of the team concentrates on reporting, the analytics stream functions as a dedicated data science unit, crafting machine learning-based solutions specifically within the financial sector. This team is characterized by its growth, collaborative spirit, and impact-driven approach, featuring a diverse mix of junior, medior, and senior professionals.

Your role is multifaceted, encompassing data analysis, machine learning expertise, and strong collaboration with business units.

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.

Our Selection Process:

Our selection process comprises three distinct steps:

• Online tests
• HR interview
• Final technical interview

If you are passionate about transforming data into meaningful solutions and eager to expand your expertise, this is an outstanding opportunity – we eagerly await your application. The application deadline is March 4th, 2026.

What We Offer:

Beyond the demands of this role, we provide an extensive array of benefits: abundant growth opportunities and diverse cross-brand career paths; flexible working hours; a hybrid working model; and the chance to instigate significant change on a global scale. You can anticipate an excellent work-life balance and the opportunity to work in an inclusive environment that enthusiastically promotes growth and embraces you for who you are.

Additionally, we offer:

• 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!

Key skills/competency:

• Data Analysis
• Machine Learning
• Python
• SQL
• Databricks
• Financial Data
• Forecasting
• Data Governance
• Problem Solving
• Stakeholder Management