Placement Student - Quality

We are looking for an enthusiastic student to join our team specializing in Quality for our Plant business unit in Daventry. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!

This ON-SITE role is available to candidates who qualify for a placement year and will commence Summer 2027. As requirements are to be fully on-site, you will need to be able to travel or relocate to the location on your own behalf . In this role, you will make an impact in the following ways: Working both independently and within a team to support key tasks and projects Using problem solving skills to improve processes and procedures Support Production Quality: Assist Engineers with production and inspection activities to ensure components and materials meet required standards.

Monitor Material Performance: Observe material behaviour in processing plants and help make adjustments to maintain consistent quality. Identify Defects: Compare physical characteristics of components and products against technical specifications to spot issues early. Conduct Testing: Carry out basic electrical, reliability and packaging tests to support product validation.

Maintain Accurate Records: Record test results, prepare simple technical reports and ensure documentation is complete and compliant. Support Measurement Processes: Participate in measurement uncertainty studies and contribute to accurate calibration outcomes. Assist Customers: Help customers interpret product specifications and understand measurement data.

Maintain Test Equipment: Ensure measurement and test equipment is properly maintained and calibrated to required standards. To be successful in this role you will need the following: Working towards a degree in an appropriate Mechanical or Automotive Engineering discipline Understanding of industrial or production engineering Analytical and problem-solving skills Apply Python, Power BI, and data analytics skills to support root cause investigations, automate quality reporting processes, and improve real-time visibility of customer quality performance across PSBU product programmes Explore and develop machine learning and AI-assisted tools to identify patterns in quality and engineering data, supporting early detection of product concerns and smarter corrective action prioritisation Contribute to Quality 4.

0 initiatives — building dashboards, automation tools, and analytical models that modernise how the quality team manages and resolves customer and product issues Closing Date Friday 27th November 11:59PM