Data Scientist - Year in Industry Placement

Tussell Limited; Aldermaston; On-site; GBP 12,000 - 19,000; Full time

Job summary

AWE is offering an office- and site-based placement year at Aldermaston, near Reading. You'll analyse large scientific datasets to support nuclear threat reduction, using data science techniques in a multidisciplinary setting.

Be prepared for onsite work with strict security requirements. You should be working towards at least a 2:2 degree in Computer Science, Forensics, Physics, Chemistry or Mathematics, graduating in 2029 or 2030, and eligible for DV clearance.

Qualifications

• Working towards at least a 2:2 degree in Computer Science, Forensics, Physics, Chemistry, Mathematics or closely related
• Graduating in 2029 or 2030
• UK national; UK passport; 10 years UK residence; DV security clearance eligibility

Responsibilities

• Analyze large scientific datasets using data science techniques to identify patterns
• Apply analytical, statistical or computational methods to improve understanding
• Collaborate with scientists from different disciplines to turn data into evidence
• Support work related to nuclear threat reduction, forensics and treaty verification

Skills

Data confidence

Analytical thinking

Technical curiosity

Collaboration

Education

2:2 degree in Computer Science / Forensics / Physics / Chemistry / Mathematics

Job description

Use data science to support work that helps reduce nuclear and radiological threats. You'll analyse large, complex scientific datasets to help specialists understand evidence used in nuclear detection, forensics, treaty monitoring and verification.

What you could work on

• Complex datasets: Explore large scientific datasets gathered across a range of technical disciplines and methods.
• Data science techniques: Apply analytical, statistical or computational approaches to identify patterns and improve understanding.
• Nuclear threat reduction: Support work linked to nuclear and radiological detection, nuclear forensics, treaty monitoring and verification.
• Multidisciplinary collaboration: Work alongside scientists from different specialisms to turn data into clear, useful evidence.

Why being onsite will support your development

This is an office and site-based placement. Due to the nature and security of our work, we cannot guarantee opportunities to work from home for part of the week. Being onsite means you'll learn directly from subject matter experts, access hands-on support and build connections across technical teams. This day-to-day access can accelerate your development and help you get more from your placement year.

Where this placement could take you

You'll gain practical experience in scientific data analysis, computational methods, multidisciplinary teamwork and communicating evidence. The placement can prepare you for careers in data science, scientific computing, nuclear forensics, national security analysis or related technical fields, with the potential to return to AWE through a future graduate opportunity.

Working pattern

A 9-day working fortnight, with every second Friday off. This is an office and laboratory-based role at Aldermaston, near Reading. Due to the nature and security of the work, we cannot guarantee opportunities to work from home.

You should be working towards at least a 2:2 degree in Computer Science, Forensics, Physics, Chemistry, Mathematics or a closely related subject. You must be graduating in either 2029 or 2030. You must be a UK national, hold a UK passport, have lived in the UK for the past 10 years and be willing and able to obtain and maintain DV security clearance.

The key skills we're looking for

• Data confidence: You enjoy working with complex information, exploring patterns and checking the quality of results.
• Analytical thinking: You can break down problems, test ideas and use evidence to reach clear conclusions.
• Technical curiosity: You're interested in coding, statistics, scientific data or developing new analytical approaches.
• Collaboration: You can learn from specialists, explain your thinking and contribute positively to a multidisciplinary team.