About the job
Job summary
Do you have experience in applying knowledge of statistics, text analytics, machine learning, or data engineering to lead, partner, advise and drive forward data focused tasks?
Are you passionate about applying your expertise to participate in cutting edge analysis and research within the UK Government's Defence and Security domains?
Are you interested in developing your technical career in an exciting and growing area?
If the answer to these questions is yes, we want to hear from you!
Dstl’s Exploration Division identifies and accelerates the delivery of transformative technology, systems, concepts and strategy for Defence and Security. Our Data Science teams enable this through the application of novel approaches to a variety of data-rich and complex Defence and Security problem areas to support strategic and operational level decision makers. We achieve this by using our own expertise; working in partnership with industry and academia; advising customers and stakeholders on valuing and exploiting data; and helping others to develop their own skills. Our data scientists very much work as a community. We work in multidisciplinary teams as the norm, valuing the different skillsets and experience our people bring together.
We are looking for a Data Science Principal Technical Lead to lead teams to design and implement credible analytical tools and Machine Learning approaches
Dstl recognises the importance of diversity and inclusion as people from diverse backgrounds bring fresh ideas. We are committed to building an inclusive working environment in which each employee fulfils their potential and maximises their contribution.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.
Job description
In this role you will:
- Create impact whilst supporting strategic and operational decision-making.
- Lead teams to design and implement credible analytical tools and Machine Learning approaches using best practice to generate reproducible work.
- Guide and direct the work of others, through technical leadership, to ensure delivery of high impact science and technology.
- Review approaches and outputs ensuring that outputs are technically robust, and follows legal and ethical requirements.
- Present data related outputs in a meaningful way to technical and non-technical audiences.
