Data Scientist

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.

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.

In this role you will:

• Create impact whilst supporting strategic and operational decision-making.
• Design and implement credible analytical tools and Machine Learning approaches using best practice to generate reproducible work.
• Explore and visualise data to present its story in a meaningful way to technical and non-technical audiences.
• Support customers and project teams to understand where data science can add new value.
• Work with Industry and Academia by partnering with them to ensure that the tasks we place remain on track, are of high quality and receive the benefit of internal expertise.
• Maintain an understanding of data science in the external environment by influencing and contributing to industry, academia, other government departments and international research collaboration initiatives. 
• Keep abreast of the latest developments in data science and actively contribute to capability development.
• Guide and direct the work of others, through technical leadership, to ensure delivery of high impact science and technology.

The balance across these will vary across the different career levels with the main focus being towards the top of the list at Level 4, and bottom of the list at Level 5.

We are looking for someone who has some of the following:
• A strong focus on learning new skills and techniques in order to keep current and continue their own professional development.
• A passion to drive forward the adoption of novel techniques by others.
• Experience in, and enthusiasm for, undertaking programming and its application to Data Science or Artificial Intelligence (AI) problems.
• A motivation to apply critical thinking and problem solving in order to have a positive impact on the defence and security of the UK.
• Experience of bringing new insights through analysis of qualitative and quantitative data, through the application of statistical approaches.
• Experience of data engineering such as extracting, transforming and loading data through a pipeline.
• A talent for creating impactful visualisations.
• The ability to work collaboratively to deliver results.
• Experience leading others, maintaining output focus and technical quality.

You will need experience of applying your knowledge and skills in data science beyond your studies.

Essential Skills

Proficient using Python (including use of NumPy, Pandas, Jupyter Notebook and Matplotlib) or R (including use of the tidyverse and RMarkdown), to undertake data science.
AND

Skilled in one or more of the following:

• Text analytics (such as sentiment analysis or Natural Language Processing)
• Machine learning (for example predictive analysis such as neural networks, un-supervised learning or reinforcement learning).
• Data Engineering (for example data sourcing, data cleansing, data storage at scale, and translating manual data flows to enable scaling and repeatable use)
• Statistics (such as statistical design, regression, and classification).
• Visualisation and Dashboard creation. 

Knowledge of using Cloud based software such as Microsoft’s Azure Fundamentals or Amazon’s Cloud Practitioner certifications is beneficial.

Work location

 At Dstl, our vision is to have a modern way of working efficiently, accommodating and enabling our people to create, collaborate and deliver innovative science and technology with our partners, working in a way they need to wherever they need to.

The role will comprise of a combination of home and office based working.  It may involve travel to other Dstl sites and conferences along with customer, stakeholder and supplier sites.  You may be required to support trials and data collection activities and undertake occasional trips overseas.

The majority of the Group’s Data Scientists are based at Portsdown West, however we would be happy to consider applications for those preferring to work at Porton Down. 

Important Information

Our work in defence, security and intelligence requires our employees to be UK Nationals who are able to gain a high level of security clearance to undertake the projects we are involved in to protect us from security threats. For this reason, 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.

We’ll assess you against these behaviours during the selection process:

• Leadership
• Developing Self and Others
• Communicating and Influencing
• Changing and Improving

We’ll assess you against these technical skills during the selection process:

• Please explain the breadth and depth of your proficiency using Python (including use of NumPy, Pandas, Jupyter Notebook and Matplotlib) or R (including use of the tidyverse and RMarkdown), to undertake data science.
• What coverage of skill do you have in any of the following, please provide examples where possible:
  • Statistics
  • Visualisation
  • Text analytics
  • Machine learning
  • Data Engineering

Dstl’s full range of great benefits can be found in the information pack which includes:

• Financial: An excellent pension scheme starting from 26% employer contribution (find out more here). In Year Rewarding Achievement bonuses and thank you vouchers. Rental deposit scheme and cycle to work scheme.

• Flexible working: Options include alternative working patterns such as; compressed hours (e.g. working a 4 day week/ 9 day fortnight), job shares and annualised hours (agreed number of hours per annum paid monthly i.e. working term-time only).
• Working hours: Flexibility around your working day (e.g. start time, finish time). Ability to bank hours in a 12 month reference period including the ability to accrue and use 3 days per calendar month.
• Where you work: Depending on your role, blended working may be available including remote working to suit you and your team. This can be discussed at interview.
• Annual leave: 25 days pro rata (rising to 30 after 5 years) plus 8 public holidays with the ability to buy/sell 5 additional days per annum.

• Family: Maternity, adoption or shared parental leave of up to 26 weeks with full pay, an additional 13 weeks statutory pay and a further 13 weeks unpaid
• Learning and Development: Dstl encourages and supports charterships, accreditations and provides employees access to fully funded apprenticeships up to level 7 (Masters Degree). Dstl will pay for 2 memberships with relevant bodies/institutions. Employees also have access to Civil Service Learning.
• Facilities: Onsite parking, EV Charging points, restaurants, cafés and gyms.

The information pack can be found attached to the job specification on Civil Service Jobs. 
Our Diversity Networks
We have a number of support networks to ensure all employees feel supported at work.

These include the following;
– Sexual Orientation and Gender Identity Network
– Race, Faith and Culture Network
– Parents and Carer Support Network
– Alternative Working Network
– Gender Equality Network
– New Starters Network
– Enabled Network, for people with visible and non-visible disabilities

For further information about Dstl please check out our LinkedIn page

This job is not open to candidates who hold a dual nationality.

Job contact :

• Name : Dstl Recruitment Team
• Email : dstlrecruitment@dstl.gov.uk

Recruitment team

• Email : dstlrecruitment@dstl.gov.uk