Are you a recent graduate ready to apply your tech skills in a real-world engineering environment? JWA CNC Precision Ltd, a leading Leicester-based manufacturer specialising in high-tolerance CNC machining for aerospace and green energy sectors, is offering an exciting paid internship through the Made Smarter East Midlands programme.

With a reputation for precision and innovation, our AS9100-accredited company is on a mission to enhance quoting efficiency and unlock new levels of productivity using AI and data-driven tools. This is your chance to be part of that transformation.

The Challenge In a fast-paced industry, quoting delays can mean lost contracts. JWA have recognised a need to improve their processes to speed up quoting. 

Your mission: develop an AI-powered dashboard that streamlines stock visibility and material pricing, reducing quoting time to just two days. This project will directly impact their win rate, machine utilisation, and profitability.

What You’ll Do As our Digital Intern, you’ll:

• Analyse current cost estimation and bidding workflows.
• Design and build a dashboard integrating historical and real-time pricing data.
• Develop a prototype AI agent to automate data collection from online sources.
• Collaborate with leadership to align technical solutions with business goals.
• Validate the solution through trial runs and create a user guide for deployment.

Who We’re Looking For Ideal Degree Subjects:

• Computer Science
• Data Science / Artificial Intelligence
• Business Analytics / Information Systems
• Industrial or Systems Engineering

Top 5 Skills You’ll Need:

1. Data Analysis & Interpretation – Extract insights from historical pricing data.
2. AI & Machine Learning Fundamentals – Understand how AI can enhance cost estimation.
3. Dashboard Development – Use tools like Power BI or Tableau to visualise data.
4. Programming & Automation – Build AI prototypes using Python or similar.
5. Process Mapping & Optimisation – Identify and improve workflow inefficiencies.

�� Internship Details

• Duration: 6-7 weeks
• Hours: Monday–Friday, 40 hours/week
• Paid: In line with minimum wage legislation
• Support: Direct mentorship from the Managing Director, access to AI tools, and collaboration with the internal team.