Job description
This role offers an excellent opportunity for anyone looking to develop their skills and gain an insight into regulatory sciences.
- Time to recharge your batteries with 270 hours of annual leave (plus every other Friday off work)
- Consideration for flexible working arrangements so that your work may fit in with your lifestyle. 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
- Employee Assistance Programme and Occupational Health Services
- A generous defined contribution Group Personal Pension (we will pay between 9% and 13% of your pensionable pay depending on your own contribution)
- Life Assurance
- 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 for your family
- A host of voluntary & core benefits to suit your health and wellbeing – more information available on our careers site
- To define the statistical strategy for the group, driving improvements in data analysis, uncertainty quantification, and test validation
- To add rigour and quantification to assessments undertaken by the group on explosives safety, performance, and reliability
- To develop statistical tools and models to enhance materials understanding and enhance the leverage of extant and new data sources.
- Degree in a STEM discipline, equivalent NQF level 6 qualification or equivalent experience
- Substantial experience working with scientific/engineering/academic teams focusing on applied statistics
- Ability to develop code in languages like R, Python, MATLAB, C++, FORTRAN
- Ability to integrate and work well in a team and support or take the technical lead in projects
- Ability to convey complex and highly technical issues to diverse audiences
- Structured approach to problem solving
- Understanding of applied statistics best practice
- Familiarity with common libraries for statistical analysis, data assessment and machine learning
- Ability to develop code (such as statistical analysis in R) in appropriate software
- Ability to capture technical requirements and produce appropriate implementations
- Familiarity with software development lifecycle
About AWE PLC
CEO: Iain Stevenson
Revenue: $100 to $500 million (USD)
Size: 5001 to 10000 Employees
Type: Company - Public
Website: http://www.awe.co.uk
Year Founded: 1940