Physics Data ScientistClosing Date: 4th March 2025Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.Due to the classified nature of the work involved, the successful candidate will spend the majority of their time on site at AWE Aldermaston. Occasional working from home is quite normal for those in this role but there will need to be flexibility around working pattern to meet business requirements.Package: £28,420-£39,500 (depending on your suitability, qualifications, and level of experience)Working pattern: AWE operates a 9-day working fortnight. We will consider flexible working requests so that your work may fit in with your lifestyle. Just let us know your preferred working pattern on your application.Let us introduce the roleAWE is currently recruiting for a Data Scientist within the Systems Assessment Group focused on the Nuclear Threat Reduction mission space. This role is ideally suited to a physicist with a keen focus on Data Science who enjoys working with diverse teams on a wide area including Radiation Detection, Computational Modelling and Machine Learning.Working with extant teams of subject matter experts from a variety of backgrounds the successful candidate will both apply and develop their Data Science skills by addressing real world problems pertaining to nuclear threat reduction.In addition to Nuclear Threat Reduction project work the successful candidate will help provide decision making support for the business through data science analysis and modelling; working in a team of specialists to provide information and insights using their applied data science knowledge. They will further contribute to the future of AWE by understanding and optimising data science processes, analysis and experimental design using appropriate libraries, software and tools developing a deep understanding of the nuclear defence sector.Who are we looking for? We do need you to have the following: A strong degree in Physics or a related subject with a focus on applied science. Postgraduate degrees such as MPhys, MSc, MEng, and PhD would also be welcome.Ability to develop code in languages like R, Python, MATLAB, C++, FORTRAN.Whilst not to be considered a tick list, we'd like you to have experience in some of the following:Experience working with scientific/engineering/academic teams focusing on data science and an understanding of data science best practice.The ability to convey complex and highly technical issues to diverse audiences.Familiarity with common libraries for statistical analysis, data assessment and machine learning and the software development lifecycle.A structured approach to problem solving.You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines.Some reasons we think you'll love it here: AWE has wide range of benefits to suit you. These include:9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave. Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.Employee Assistance Programme and Occupational Health Services.Life Assurance (4 x annual salary).Discounts - access to savings on a wide range of everyday spending.Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.#LI-KT