Graduate Program - Data Scientist, Supply Chain Analytics

At Air Products, we reimagine what’s possible. By tapping into the motivation of our people and our collective experience, we create the ideas and innovations that drive us forward. When we come together – where every voice is heard and everyone knows they belong and matter – we create solutions that launch people into space, support lifesaving care in hospitals, and enable the construction of groundbreaking, world scale production facilities.

Reimagine What’s Possible 

📍 Location: Brussels / Diegem, Belgium
🎯 Future Placement Role: Industrial Gases Supply Chain Data Scientist

Are you a recent Master's graduate with a strong foundation in data science, machine learning, and mathematical optimization, and a drive to turn complex operational data into decisions that move a real network? Join our Role-Ready Graduate Program and build the technical depth, engineering practices, and industry knowledge needed to become an Industrial Gases Supply Chain Data Scientist within our European Supply Chain organization.

As part of our Central Supply Chain Analysis Team, you will follow a structured development journey designed to prepare you for a future role building the models, algorithms, and analytical products that optimize our Industrial Gases supply chain across Europe. Through hands-on projects, coaching from experienced professionals, and increasing levels of responsibility, you will work on advanced analytics, optimization, and predictive modelling problems with direct impact on cost, service, and sustainability.

You will contribute to improving the performance of our Packaged Gases, Liquid Bulk, and Microbulk distribution networks, working closely with data engineering, IT, supply chain, operations, logistics, commercial, and retail teams across multiple countries.

What You Will Do

As a Graduate Supply Chain Analyst, you will:

• Explore and model large supply chain datasets (telemetry, delivery, order, and cost data) to uncover patterns, anomalies, and improvement opportunities.
• Design, train, and validate machine learning models, for example demand and consumption forecasting, anomaly detection, and customer segmentation.
• Develop mathematical optimization and simulation models for network design, depot and transport planning, and route and cluster optimization.
• Turn models into usable analytical products, including interactive applications and dashboards, with clear documentation and reproducible code.
• Define and track KPIs, and design experiments and cost-benefit analyses to quantify the value of new models and decisions.
• Support optimization projects and progressively take ownership of defined initiatives
• Work with geospatial and routing data to improve distribution efficiency and travel-time estimation.
• Explore emerging approaches, including AI-assisted analytics and LLM-based tools, to accelerate analysis and documentation.
• Translate analytical results into clear recommendations and present them to senior stakeholders.

What You Will Learn

During the program, you will develop expertise in:

• Industrial Gases supply chain operations and distribution networks
• Applied machine learning, statistical modelling, and forecasting on operational and IoT/telemetry data
• Mathematical optimization, simulation, and scenario modelling for network and transport planning
• Production-grade Python, SQL, and cloud data platforms such as Databricks
• Data visualization and application development using tools such as Qlik Sense
• Business case development and cross-functional stakeholder management
• Communicating complex analytical results to non-technical audiences
• Leading and independently managing advanced analytics initiatives, from problem framing to deployment

Who We Are Looking For

We are seeking ambitious strong graduates who are eager to learn, grow, and make a measurable impact on business performance.

Qualifications & Skills

• Master's degree in Data Science, Computer Science, Applied Mathematics, Statistics, Engineering, Operations Research, or a related quantitative field.
• Solid programming skills in Python (pandas, NumPy, scikit-learn or equivalent) and SQL.
• Strong foundation in statistics, machine learning, and/or mathematical optimization.
• Ability to structure ambiguous business problems and translate them into analytical models.
• Experience or strong interest in optimization, simulation, forecasting, or geospatial analysis is an advantage.
• Experience with data visualization tools such as Qlik Sense, Power BI is a plus.
• Strong attention to detail and commitment to data quality and model rigor.
• Proactive, curious, and self-motivated mindset.
• Ability to work effectively with technical and non-technical teams across different functions and countries.
• Fluent in English; additional European language skills are considered a plus.

What We Offer

• A structured graduate development program with clear progression toward a permanent data science role.
• Real business impact from day one through meaningful projects and responsibilities.
• Mentoring and coaching from experienced supply chain and analytics professionals.
• Exposure to international stakeholders and operations across Europe.
• Opportunities to develop advanced technical, business, and leadership skills.
• A collaborative and inclusive working environment focused on learning and growth.

Ready to Shape the Future of Supply Chain with Data Science?

If you enjoy combining advanced analytics with practical business impact and want to build a career in a complex, international environment, we would love to hear from you.

Apply today and begin your journey toward becoming an Industrial Gases Supply Chain Data Scientist.

Founded in 1940, Air Products is a world-leading industrial gases company and has a proud history of innovation, operational excellence, with an unwavering commitment to safety and environmental stewardship. Working together, we are taking our passion and diverse backgrounds forward to reimagine what’s possible and generate a cleaner future for our customers, our communities, and the world.