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Air Products is offering a role-ready graduate program in Industrial Gases Supply Chain Data Science in Europe. You will work in the Central Supply Chain Analysis Team on advanced analytics, ML, optimization, and visualization across multiple countries.
The program emphasizes hands-on projects, mentoring, and rapid responsibility, with opportunities to shape distribution networks and cost efficiency using Python, SQL, and modern data platforms.
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. 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.
We are seeking ambitious strong graduates who are eager to learn, grow, and make a measurable impact on business performance.
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, PowerBI 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.
Behind every success and innovation that has made a difference in the world, you will find a team of passionate people who helped make it possible. At Air Products, our talented people help each other and our customers thrive. To our colleagues, we are valued and respected teammates. To our customers, we are partners in creating value. To our communities, we are caring, involved neighbors and committed stewards of the environment.
Air Products is a world‑leading industrial gases company with more than 85 years of experience serving energy, environmental, and emerging markets while generating a cleaner future. Our people are at the heart of everything we do. We are committed to creating a workplace where safety comes first, diverse perspectives are valued, innovation thrives, and employees have opportunities to learn, grow, and make a meaningful impact.