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Join our Data Analytics and Artificial Intelligence for Process Engineering Graduate Programme and see how digital technology is transforming the way we make sugar. You’ll learn how data, analytics, and automation can make our processes more efficient, reliable, and sustainable — and play an active role in driving this change. Through structured learning and hands-on project work, you’ll gain experience across manufacturing, supply chain, and digital transformation teams. By the end of the programme, you’ll be ready to move into a permanent Process Analytics Engineer role.
Job Responsibility:
Work on live projects that improve reliability, optimise production, and reduce environmental impact
Develop skills in artificial intelligence, machine learning, and process automation to solve real engineering challenges
Collaborate with engineers, operators, and data specialists to turn insights into measurable results
Gain experience using data tools and visualisation platforms to analyse operational performance
Learn how digital systems and automation drive safety, efficiency, and sustainability
Build communication, problem-solving, and leadership skills for a future in data-driven manufacturing
Requirements:
A minimum 2:1 degree (or predicted) in Chemical, Mechanical, Process, Manufacturing, or Systems Engineering, or in a numerate discipline such as Physics, Mathematics, or Data Analytics
An interest in using data and digital tools to solve real-world challenges in manufacturing or engineering
The ability to analyse information, identify trends, and make practical recommendations
Strong teamwork and communication skills — able to build relationships and explain technical ideas clearly
A proactive approach to learning, curiosity about technology, and openness to feedback
The right to work in the United Kingdom
Alignment with our values: staying safe, driving to action, working together, respecting each other, and being open and flexible
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