Chief Scientific Adviser (National Security)

GCHQ
Reading
1 year ago
Applications closed

Related Jobs

View all jobs

Applied AI and Machine Learning Scientist - Senior Associate

Chief Data Scientist - Build Platform & Team from Scratch

Data Science and AI Industrial Placement Scheme

Data Science and AI Industrial Placement Scheme

Data Science and AI Industrial Placement Scheme

Senior Data Scientist — Healthcare Analytics & Growth

Job summary

Chief Scientific Advisers (CSA) perform an independent challenge function, ensuring that science and engineering research, evidence and advice is robust, relevant and high quality. They bring scientific and engineering evidence to key decision-making, provide oversight and assurance of science and engineering capability and activities in their department.

Job description

The Chief Scientific Adviser for National Security (CSA) leads on advice and delivery of science and technology (S&T) for the three security and intelligence agencies: MI5, SIS (MI6) and GCHQ, with the post reporting to Director GCHQ. This includes overseeing UKIC�s major S&T transformation effort via the Science, Technology and Engineering Programme (STEP).�

As a member of the Government Chief Scientific Adviser�s (GCSA) team, they also provide strategic advice on national security S&T in HMG and the wider national security community. The CSA engages widely with academia, international partners and industry to access and influence the best thinking and innovation to address national security problems. They then use this to both shape and implement HMG�s strategic approach to national security S&T. The agenda is driven by the operational and strategic challenges facing us and the post will work in close partnership with colleagues across the agencies. The CSA also provides advice to senior officials and Ministers across HMG and the wider national security community.�

The new CSA will have broad reach and influence, and will be responsible for:

Providing strategic S&T advice to the three intelligence agency heads (Director GCHQ, DG MI5 and �C�) and working in partnership with their leadership teams. Bringing insight, challenge and support to their thinking on future direction and ensuring decisions are underpinned by robust evidence. Fulfilling the role of Senior Responsible Officer for STEP; UKIC�s major transformation effort.� Bringing S&T to bear on our sharpest problems, by connecting closely into mission, capability and enabling teams across the agencies. Advising on the direction of the agencies� organisational strategies, and their collaboration initiatives, particularly in the areas of data, technology and innovation. Develop understanding of the international S&T landscape to help shape UK national security thinking, identify opportunities, and build collaboration with international partners (both government and industry). Supporting, coordinating, and ensuring the coherence of S&T research and development programmes across the community. Sponsoring innovation, including engagement with the National Security Strategic Investment Fund (NSSIF). Collaborating with international partners (both government and industry partners) on science and technology developments.� Overseeing the MI5, SIS, and GCHQ Scientific Advisory Council. Supporting relevant S&T professions across the agencies, being an advocate for staff and supporting their professional development and careers. Helping to ensure that they have the right skills development and have access to the right knowledge and expertise within their departments to help meet departmental S&T linked business objectives. Representing the GCSA and national security science in a range of HMG fora. Providing linkage to, and insight from, world leading research groups, academia and industry and to build an external network of scientific/research expertise, including the most relevant experts from industry and academia. Engage thoroughly with the Government Chief Scientific Adviser and the Chief Scientific Advisers network (this cross-government working group is crucial to ensure that scientific advice in government is appropriately communicated and actioned).

Aside from SRO responsibilities in relation to STEP, the CSA does not have wider executive responsibilities. The post is a member of all three agencies' Boards and participates in governance relevant to the strategic remit of the role. �

The CSA should also engage thoroughly with GCSA and the CSA Network. This cross-government working group is crucial to ensure that scientific advice in government is appropriately communicated and actioned.

Person specification

The successful candidate will be an excellent strategic leader who will embrace our mission, live our values and lead by example.

They must be able to demonstrate their experience and skills against the following essential criteria:

Credibility as a scientist, engineer or technologist, renowned in a relevant discipline (for example, maths, data science, engineering, technology, computer science or behavioural science). Thought leadership, and demonstrable commitment to an evidence-driven approach. Senior leadership experience, with evidence of providing inspiring leadership and coordinating and driving delivery across disparate teams and partners. Experience of collaborating with international partners on science and technology.� The ability to operate effectively in a complex stakeholder environment, with evidence of strong collaboration and strategic influencing. A record of seeking out sources of innovation, and promoting innovation, and tackling the challenges to effective �pull-through�. Excellence in communication, able to connect across science, mission and policy communities. Committed to their own personal development, to growing capability in others, and to strongly promoting diversity and inclusion.

Competencies
��
You will be assessed against the following competences at SCS3/Director General:

Seeing the Big Picture Working Collaboratively Communicating and Influencing� Driving Innovation and Change Delivering Outcomes

Terms of appointment

A fixed term appointment of three years with the potential to be extended up to five years. A secondment will also be considered. Nationality and Security Clearance: Agency Developed Vetting will be required. Security considerations impose limitations on travel and other personal activities, as well as a lifelong duty of confidentiality. Applicants will need to consider this when choosing to apply. Remuneration up to �156,163 annual salary; NSP �4,630, plus London Pay Addition of �6,250 (if applicable) Location: London, Cheltenham or Manchester Please be aware that this role requires the successful candidate will be publicly avowed.

Benefits

Rewards and Benefits�

A range of benefits will be available to you, including the following:

30 Days Annual Leave, and an additional days public and privilege holidays Opportunities to be recognised through our employee performance scheme Interest-free season ticket loan Excellent pension scheme Cycle to work scheme Facilities such as a gym, restaurant and on-site coffee bars (at some locations) Paid parental and adoption leave.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.