Data Scientist for Machine Learning and AI

Reading, UK
£33,300 - £45,000
Closing date
19 Aug 2022

Job Details

What if you could work with remarkable people on extraordinary things? What if the end result was something a little bit special? What if your role was mission critical?

For nearly 70 years, AWE has been at the forefront of nuclear weapons research and development. We have a critical mission: to provide the warheads for the UK’s ultimate deterrent – Trident. We also use our unique skills to provide wider UK government with counter-terrorism and nuclear threat reduction solutions.

It takes a special sort of person to work at AWE. What if that person was you?

Would you like to use your experience in data, machine learning and AI to support the UK National deterrent? Do you enjoy designing and developing machine learning or statistical models? If so, this could be your next role! Can you contribute to AWE’s capability to build insights and information from our wealth of diverse datasets?

AWE is looking to appoint a Data Scientist for Machine Learning and AI. The role comes with a host of benefits as well as great opportunities for career and professional development.

Location: Reading area

Package: £33,300 - £45,000 (dependant on suitability and level of experience)

AWE (one of the best 25 big companies to work for in the UK) offers an attractive array of benefits which include:

  • Generous holiday entitlement 270 hours a year (inclusive of Bank Holidays) plus every other Friday off
  • Flexible working hours
  • Potential opportunities to travel with work for conferences and international collaboration
  • Consideration for either full time or part time hours. Just let us know on your application if you wish to work part time
  • Opportunities for Professional Career Development that include funding for the annual membership of a relevant professional body, access to mentors and training
  • Working with Top 500 supercomputers for your data analysis and modelling
  • Market leading contributory pension scheme
  • AWE Life Insurance
  • Salary sacrifice benefits scheme

The difference you’ll make in this role:

  • Contributing solutions to real-life scientific, engineering and business challenges across AWE; producing real-life improvements to timescales, safety and quality
  • Providing decision making support for the business through data exploration, analysis and modelling; working in a team of specialists to provide information and insights using your data analysis knowledge
  • Contributing to the digital future of AWE by designing and developing statistical models, machine learning and AI models using appropriate libraries, software and tools
  • Participate in all phases of the data science lifecycle from Proof of Concept to fully tested products/solutions
  • Develop deep understanding of the nuclear defence sector and the opportunities for transformation from AI & Data

The Key skills & experience you’ll bring:

  • Degree in a STEM or IT discipline, equivalent NQF level 6 qualification or equivalent experience
  • Knowledge of data collection and visualisation tools
  • Ability to develop code in languages like Python, MATLAB, R or C++
  • Ability to integrate and work well in a team and support or take the technical lead in projects

It would also be advantageous for you to have any of:

  • Structured approach to problem solving
  • Ability to convey complex and highly technical issues to diverse audiences
  • Understanding of big data tools
  • Familiarity with common Python libraries for data management, statistical analysis, machine learning and visualisation
  • Experience of working in MS and Unix/Linux environment
  • Ability to develop code (such as machine learning and AI models) in appropriate software
  • Knowledge of machine learning model types and effective processes
  • Ability to capture technical requirements and produce appropriate implementations
  • Understanding of parallel programming concepts
  • Familiarity with software development lifecycle

We will consider applications from individuals at different stages of their career – recent Graduates or a qualified Scientist with industry experience. Previous experience of Data Science would be an advantage but is not essential.

Candidates must be willing and able to obtain and maintain the necessary security clearance for the role.


Please note that you must be a British National to apply for a role at AWE.

AWE plays a crucial role in the defence of the United Kingdom, by providing and maintaining the warheads for the country’s nuclear deterrent. We are a centre of scientific, engineering and technological excellence, with some of the most advanced research, design and production facilities in the world. Our unique expertise also assists the UK Government in developing and delivering a range of innovative and integrated support services, including national nuclear security and counter-terrorism solutions.

AWE is an equal opportunities employer. We value diversity and welcome applications from candidates from all backgrounds. We particularly welcome applications from sections of the community which are currently under-represented at AWE, including women, BAME and people with disabilities.


AWE profile imageWe put the science and engineering into nuclear defence. We’re a team of creative thinkers from all kinds of backgrounds working at the heart of nuclear defence and security. We have one clear mission – to keep everyone and everything around us safe and secure from nuclear threats.

Why work for us
What we do is both interesting and exciting, especially now that the government has announced the replacement warhead programme. Working at AWE gives you access to exceptional technologies, facilities and projects that no ordinary company can provide – and the support of world-class professionals at every stage of your career. We offer a competitive salary and benefits package, including a “nine-day fortnight” giving you every other Friday off to spend more time doing the things that you love.

Training and development
We believe in supporting our people through long-term investment in learning and development. Alongside in-house and on-line training capabilities, we support membership of professional bodies. We also focus on building and developing leadership skills, in pursuit of our best-in-class ambition. We do this through tailored leadership development programmes, accredited by the Chartered Management Institute, designed to equip our leaders with the skills to drive performance and bring out the best in their teams.

Graduate schemes
Our two-year Evolve programme offers three career pathways: Science, Engineering and Future Leaders. The programme is designed to be flexible, to incorporate a range of experiences as well as business needs. You’ll undertake several placements to expand your knowledge of your discipline, enabling you to develop yourself and your ongoing career. Your line manager will work with you to create an appropriate pathway for you – and support you on your journey.

AWE is an equal-opportunities employer. We nurture a culture of diversity and inclusion – a place where we can ALL be ourselves. We value respect, empathy and open-mindedness and welcome applications from all backgrounds. We are always looking for high-calibre people to join our team, so why not explore the opportunities that we currently have on offer. Whatever stage of your career, AWE is an exciting and excellent environment to develop your skills and achieve your aspirations. Please note that you must be a British National to apply for a role at AWE.

Reading, UK

Number of employees

Main areas of research
Nuclear defence, nuclear forensics, radiation detection, plasma physics, hydrodynamics, high-performance computing, materials science

Positions recently recruited for
Computational physics, criticality scientists, experimental physics, radiation science, high-performance computing, radiation detection

Must be a British National

How to apply
Please visit our website for further information

Tel +44 (0)118 981 4111

Find Us
0118 98 24643
AWE Aldermaston
United Kingdom

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