British Sugar is a home-grown success story and one of the most efficient and competitive beet processers in the world. Around 3,500 farmers based in East Anglia and the East Midlands supply our four advanced manufacturing sites with eight million tonnes of sugar beet every year. We, in turn, make this in to over 1 million tonnes of sugar, serving customers across the UK, Ireland and increasingly growing commercially in the EU and world sugar markets.
Data Analytics and Artificial Intelligence for Process Engineering Graduate Programme
Duration: 30 months
Location: Wissington
Salary: £38,000 per annum
Help shape the future of smart manufacturing
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.
What you will be doing
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.
What you will need
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