Data Analytics and Artificial Intelligence for Process Engineering Graduate Programme

British Sugar Plc; North End; On-site; GBP 27,000 - 35,000; Full time

Job summary

A leading sugar manufacturing company in the UK is inviting applications for its Data Analytics and Artificial Intelligence for Process Engineering Graduate Programme. This unique opportunity allows graduates to work on live projects aimed at enhancing production efficiency and sustainability. Candidates should hold a minimum 2:1 degree in a relevant engineering or numerate discipline, and possess a keen interest in data-driven manufacturing. Successful candidates will gain invaluable experience in artificial intelligence and automation tools, setting them up for a permanent role as a Process Analytics Engineer.

Qualifications

• Minimum 2:1 degree in Chemical, Mechanical, Process, Manufacturing, Systems Engineering or in Physics, Mathematics, Data Analytics.
• Interest in using data and digital tools in manufacturing or engineering.
• Ability to analyse information, identify trends, and make actionable recommendations.
• Strong teamwork and communication skills.

Responsibilities

• Work on live projects that improve reliability and optimize production.
• Develop skills in artificial intelligence and machine learning.
• Collaborate with engineers and data specialists on operational performance.

Skills

Data analysis

Teamwork

Communication

Problem-solving

Curiosity about technology

Education

Minimum 2:1 degree in relevant engineering or numerate discipline

Tools

Data tools and visualisation platforms

Job description

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.

• 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.
• 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.
• We are committed to creating an environment where all our people are treated with respect and given the opportunities to succeed. We want British Sugar to be a great, inclusive place to work for everyone.