Intern – Software Engineer

Job Title: Intern – Software Engineer

Location: Yeovil

Role Type: 12\-month internship

Job Summary:

As a Software Engineer Intern at Honeywell, in Yeovil, you will be supporting and developing cutting edge software solutions for the manufacturing of aerospace products.

This role is part of our University Relations program, designed to help students and recent graduates launch their careers with hands\-on experience, mentorship, and opportunities for growth within Honeywell. This internship is set up for 12 months to cover a sandwich placement starting in Summer 2027, or a recent graduate, having graduated no earlier than 2026, with the possibility for a permanent opportunity at completion.

This is a hybrid role, 3 days at the office \+ 2 days work from home model.

Honeywell Aerospace:

Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace, we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission\-focused execution.

Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.

Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.

*Every horizon. Every mission. Every day.*

Key responsibilities:

You will work closely with experienced professionals, and be assigned a buddy, to gain hands\-on experience within a friendly and supportive team to be trained to achieve the following:

• Collaborate with cross\-functional engineering teams to improve data visibility and production performance


• Develop dashboards integrating data from IoT/SCADA systems for real\-time monitoring and analysis


• Apply data analytics and AI techniques to identify failure patterns and support root cause analysis


• Analyse trends in testing, yield, and production data to drive continuous improvement


• Support development of predictive models for machine performance and production flow optimisation


• Contribute to simulation tools for planning, bottleneck identification, and process optimisation

• Currently studying a sandwich course degree graduating in 2028, or graduated no earlier than 2026, in Computer Science, Software Engineering, or similar with a passion for training


• Full right to work in the UK without the need of sponsorship


• Basic programming skills (e.g. Python, C\#, or similar) and an understanding of data structures and databases (SQL or similar)


• A passion for data analytics, automation, and industrial systems

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