Data Scientists & Data Engineers
Dstl Porton Down
About the job
You love maths, science and engineering. You love data and building models to describe it. You want to use that passion to save lives and make a difference in the world, while advancing your career at a single, stable, supportive and cutting-edge laboratory. If that sounds like you then come work for us!
We have a range of opportunities, for aspiring to expert Data Scientists and Data Engineers. We want technical specialists from traditional academic or industry roles because your numeracy and statistical skills make excellent foundations for developing contemporary Data Scientists and Data Engineers. And we want experienced people looking for tough new challenges to work on our complex, classified and fascinating datasets you simply can’t access anywhere else.
If you love travelling but don’t want to move home every few years, we can even offer you the adventure of deploying your skills directly in support of operations, domestically and overseas.
We are the AI Research and Applied Data Science teams in Dstl; teams of multi-disciplinary scientists, analysts, engineers and consultants. As part of the Intelligence Systems and Analytics Group in Dstl, we research novel AI and Data Science applications and help deploy them directly with Defence and Security partners (e.g. Defence Intelligence, UK Special Forces, F-35 project teams), partners across UK Government, and internationally (especially in the 5-Eyes community).
We implement a variety of traditional engineering, numerical and statistical approaches together with state-of-the-art machine learning and deep neural networks to a huge variety of applications, including:
• Image and video analytics
• Text analytics and natural language processing
• Radar, radio frequency and acoustics analysis
• Computer network and host log analysis
• Data collection, processing, fusion and visualisation
• Big data engineering and data flow orchestration
Not everything we do is highly classified. We love to publish academic papers and file patents. We've used open competitions (e.g. Kaggle) to access the very best worldwide expertise in machine vision. And we've sought to harness the power of the open source software community through the release of various tools on Github, for example Baleen and Stone Soup (https://github.com/dstl).
We give our people the freedom to think and innovate; working with like-minded scientists passionate about delivering quality technical solutions in a friendly and encouraging environment. And we offer loads of opportunities to keep up-to-date with the latest developments, through training and scholarships, attending and presenting at conferences, and working closely with industry and academic colleagues.
• Data science research and development using Python, R, Java and/or other relevant languages.
• Employing scientific research methods – analytical, independent, critical and curious analysis of data.
• Applying tools/libraries such as Tensorflow, PyTorch, Keras and sklearn to statistical modelling, pattern recognition, supervised and un-supervised learning, data mining, predictive analysis and natural language processing.
• Handling, curating, manipulating and analysing complex, high volume and high dimensionality data, with an emphasis on interoperability and standardisation.
• Databases (e.g. ElasticSearch, mongdb, Neo4j), cloud (e.g. AWS) and data management.
• Data engineering – exploiting distributed computing techniques such as Hadoop or Spark, multi-core/distributed processing, SQL and NoSQL database systems.
• Containers and container orchestration technologies e.g. Docker and Kubernetes.
• Story-telling and data visualisation – including the visualisation of insights drawn from data and building of data driven products.
• Mid-level programming; building prototypes and understanding existing code bases, rather than writing highly scalable production code.
• Version control (i.e. Git) and agile methodologies (e.g. scrum, tools such as JIRA)
• Unit/integration testing and software verification and validation; code review; software documentation (e.g. Sphinx)
• More senior appointments would typically have experience in technical leadership in studies or projects, people management or consulting
We need great people! We're looking for those with:
• The ability to apply statistical rigour, critical thinking and creative problem solving to a variety of data sets (e.g. text, imagery, geospatial, time-series), seeking out new, high-risk, high payoff technologies.
• A passion for programming in modern languages, and a solid understanding of relevant architectures (see more below)
• A natural curiosity and independent drive to research, experiment and understand
• Enthusiasm and experience in applying AI, ML and Data Science techniques to complex problems.
• For senior roles, leadership and collaboration experience
• For deployed roles, a willingness and ability to work domestically and overseas, sometimes in operational environments.
• A minimum 2:1 degree in a relevant scientific subject area, or commensurate experience.
• A Masters degree or PhD in a relevant area.
An active membership or fellowship of a relevant professional body is desirable. Dstl pay for memberships to up to 2 professional bodies.
Our work in defence, security and intelligence requires our employees to be British Citizens who are able to gain a high level of security clearance to understand the work you will undertake to protect us from any security threats. For this reason, we regret that only UK Nationals will be able to apply for this role. If you are an international or dual-national candidate, and you think you have the skills we need, please consider applying to any of our government, security or defence partners.
This role will require full UK security clearance and you should have resided in the UK for the past 5 years. For some roles Developed Vetting will also be required, in this case you should have resided in the UK for the past 10 years.
If you are a current Dstl employee, you are encouraged to inform your line manager of your application as they can support you through the process and should you be successful it will help in negotiating a release date.
Dstl is strongly encouraging blended and flexible working either at one of our sites or from home or both. We want to empower you to undertake your duties at the most appropriate location for the task, however you will be allocated a Dstl site as a base. You may be required to travel to other Dstl and MoD sites as required.
We particularly welcome female and ethnic minority applicants and those from the LGBTQI community, as they are under-represented within Dstl at these levels.