
The UK's National Innovation Centre for Data, based at Newcastle University funded through @beisgovuk, @epsrc and @UniofNewcastle.
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ALT Have you graduated but finding it hard to land interviews or graduate roles in Data Science/AI due to a lack of industry experience? You’re not alone. To help address this challenge, the Department for Science, Innovation and Technology has funded the ‘AI Traineeship Programme’ pilot at the National Innovation Centre for Data (NICD) to support graduates looking for their first full-time role. The programme offers you an exciting opportunity to gain real-world, industry-relevant experience in data science and AI to enable you to be more work-ready for potential employers by engaging you in the technical and business skills they require. This fully funded, full-time 6-month traineeship starts on 15 September 2025 at the National Innovation Centre for Data. Start Date: 15 September 2025 Location: National Innovation Centre for Data, Catalyst, Newcastle Fully funded and full time for 6 months. Salary £10,390

ALT Got a data or AI challenge? Get up to 12 weeks of expert-backed support at zero cost. What's included? Graduate team, guided by NICD experts, Real-world data/AI approach, Tailored to your business challenge. Why take part? Free and low risk, access fresh talent and new ideas, explore AI with hands-on support. Register your interest: https://bit.ly/3GDvgDg

ALT Could students help solve your business challenge? 🕒 200+ hours of student thinking 🎓 Access to top talent 💬 Fresh, diverse perspectives 📊 Data-led insight into your challenge NICD’s Data Innovation Bootcamps connect your business with Newcastle University students to explore real problems using real data. 📩 Get involved: [email protected]

ALT GOT A DATA OR AI PROJECT YOU'D LIKE TO EXPLORE, AT NO COST? WHAT’S ON OFFER Up to 12 weeks of dedicated project support A team of graduate trainees, guided by NICD experts Exploratory data and AI support focused on your real-world problem WHY CONSIDER IT Free, low-risk innovation Access to skilled graduate talent, supported by experts A chance to test what data science and AI could offer your organisation WHAT THE PROJECT COULD LOOK LIKE Define clear business goals and objectives, Explore, clean and prepare your data, Build and prototype your data solution, Plan integration into your systems, Stay informed through regular updates, Share results in a final case study THE BENEFITS Low-risk, Access to graduate talent, Expert-supported, Potential to solve real challenges, Free, A powerful case study to share WHO IS THIS FOR? Organisations with: A data science or AI idea or project, Clear business impact potential, A compelling story to tell, Time to attend stakeholder meetings

ALT Have you graduated but finding it hard to land interviews or graduate roles in Data Science/AI due to a lack of industry experience? You’re not alone. To help address this challenge, the Department for Science, Innovation and Technology has funded the ‘AI Traineeship Programme’ pilot at the National Innovation Centre for Data (NICD) to support graduates looking for their first full-time role. The programme offers you an exciting opportunity to gain real-world, industry-relevant experience in data science and AI to enable you to be more work-ready for potential employers by engaging you in the technical and business skills they require. This fully funded, full-time 6-month traineeship starts on 15 September 2025 at the National Innovation Centre for Data. Start Date: 15 September 2025 Location: National Innovation Centre for Data, Catalyst, Newcastle Fully funded and full time for 6 months. Salary £10,390

ALT The National Innovation Centre for Data's AI Traineeship Programme for Newcastle University graduates, fully funded 6 month programme, opportunity to work with expert mentors and gain real-world, industry-relevant experience in data science and AI. Starts on 15th September 2025. Offers a traineeship allowance of £10,390. You will need to have experience of AI and data science from your degree.















