> Markdown version of [/jobs/ext/2930247-year-in-industry-data-scientist](https://www.wearedevelopers.com/jobs/ext/2930247-year-in-industry-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Year in Industry- Data Scientist - **Company:** AWE plc - **Location:** Aldermaston, UK - **Salary:** £24,500.0 - **Contract:** Temporary contract - **Skills:** Information Technology, Data Analytics - **Published:** September 16, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5885917359 ## About the Role We are interested in candidates studying: * Computer Science * Forensics * Physics * Chemistry * Mathematics * Before starting with AWE, you must be able to provide evidence that you have achieved a minimum 2:2 degree classification, or equivalent academic performance to date, by August 2026. Behaviours and qualities You will possess the following traits and qualities: * Growth mindset: You are full of grit and determination, clear about where you are going and how you will get there. * Curious: You love to think outside the box, and may even want to take the box apart. * Innovative: You are open to learning about new technologies and ground-breaking ideas. * Resilience: You advocate speaking up for yourself and others openly and constructively. * Team worker: You are dependable and reliable, and interested in collaborating with and supporting others. ## Description Nuclear Threat Reduction supports the Government on national security issues involving radiological and nuclear materials. Work ranges from fundamental and novel research to the applied development of technology demonstrators. The team supports the Ministry of Defence by providing technical advice on detecting nuclear and radiological material, nuclear forensics, and international treaty monitoring and verification. These mission areas involve collecting and analysing large, complex datasets spanning multiple scientific techniques. This project investigates how data science techniques can contribute to analysing and understanding data gathered in support of the Nuclear Threat Reduction mission. You will gain experience of working in a multidisciplinary team of scientists applying data science techniques across a range of datasets. Following your year with us, you may have the opportunity to secure a graduate role for when you graduate.