Job summary
- Main area
- Analysis and Intelligence
- Grade
- Civil Service: Senior Executive Officer (SEO)
- Contract
- Permanent
- Hours
- Full time
- Part time
- Job share
- Flexible working
 
- Job ref
- 919-JI-303558-EXT
- Employer
- UK Health Security Agency
- Employer type
- Public (Non NHS)
- Site
- Core HQ's
- Town
- Birmingham, Leeds, Liverpool, London (Canary Wharf)
- Salary
- £41,983 - £52,113 Per Annum, Pro Rata
- Salary period
- Yearly
- Closing
- 20/11/2025 23:59
Employer heading
 
	
Senior Data Scientist
Civil Service: Senior Executive Officer (SEO)
Job overview
We are looking to recruit an enthusiastic Senior Data Scientist to the Advanced Analytics Data Science Team within the multidisciplinary Advanced Analytics Division in the Chief Data Officer Group. You will work with the team to provide high quality scientific advice and evidence to government on novel public health interventions collaborating internally with clinical and science teams. You will be applying a range of cutting-edge data science techniques ranging from classical modelling to generative AI.
You will use your skills to develop, evaluate and deploy data science solutions and applications that directly impact health security. You will have the opportunity to present and author papers on your work. You will have access to cutting-edge technology including cloud platforms, a High Performance Compute cluster and containerisation platforms. Working in the team, you will also have exposure to the teams’ existing collaborations with organisations across government and industry.
Main duties of the job
The Chief Data Officer Group is comprised of a large community of data specialists. There is a lot of cross collaboration with a wide variety of subject matter experts allowing for interesting and boundary pushing work. Advanced Analytics is a multidisciplinary team, and you will be collaborating closely with Modelling and Data-Science for Emergency Preparedness, Resilience, and Response (EPRR), Economics, and Epidemiology Teams. Beyond Advanced Analytics, you will also have regular contact with other members of the wider Analysis and Intelligence Assessment directorate; and periodic or occasional contact with other subject matter experts within UKHSA, DSTL, DHSC, Cabinet Office and other similar organisations.
As the post holder you would bring  your technical skills to the team to help break down incoming work into its technical components. You would identify and lead the development of cutting-edge technical projects that will improve efficiencies in public health. 
You would be expected to be knowledgeable in mathematical, statistical, or computational techniques and will ensure that your knowledge is up-to-date by researching and testing new relevant tools or techniques.  
Working for our organisation
We pride ourselves as being an employer of choice, where Everyone Matters promoting equality of opportunity to actively encourage applications from everyone, including groups currently underrepresented in our workforce.    UKHSA ethos is to be an inclusive organisation for all our staff and stakeholders. To create, nurture and sustain an inclusive culture, where differences drive innovative solutions to meet the needs of our workforce and wider communities. We do this through celebrating and protecting differences by removing barriers and promoting equity and equality of opportunity for all.   Please visit our careers site for more information https://gov.uk/ukhsa/careers
Detailed job description and main responsibilities
Current projects led by Data Scientists in the team include:
- using large language models to identify discrepancies in guidance documents
- evaluating large language models’ suitability for assisting with different tasks in public health
- designing novel algorithms to process large scale anti-microbial resistance data
- design and deploy novel public health focused applications
- working with both our Economists and Health Economists to use data science and modelling techniques to assess the cost of different public health interventions
You will be expected to be a role-model for the technical and behavioural aspects of the team. In the latter aspect, team skills are important to this role as is demonstrating a forward-looking and investigative nature.
The above is only an outline of the tasks, responsibilities and outcomes required of the role. You will carry out any other duties as may reasonably be required by the directorate.
The job description and person specification may be reviewed on an ongoing basis in accordance with the changing needs of the organisation.
Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals.
In this role, you will:
- be inquisitive
- explore and visualise data
- make recommendations to address complex problems and to inform strategic and operational decision making
- use data ethically and appropriately
- be innovative and adaptable
- explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics
 find patterns in data and transform them into organisational insight
Essential criteria
- A first or second-class honours degree in a numerate discipline, computer science or IT equivalent which demonstrates core statistical skills; OR have worked in a statistical/data science field and are able to demonstrate continuous professional development in statistics/data science at the same level as a foundation degree/HND (Level 5)
- Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, Python and/or R or other programming languages relevant to data science; whilst supporting development of coding capability across the team.
- Expertise in wrangling, cleaning and pre-processing data for readiness for analysis and guiding best practice across the team.
- Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team.
- Previous experience of leading a team of data scientists, ensuring high technical standards and professional development. Ensure effective delivery of programmes of work and manage competing demands under pressure.
- Ability to construct and deliver compelling data stories using advanced data visualisation techniques, confidently presenting findings to business owners, senior leadership, and forums such as conferences.
- Previous experience of mentoring data scientists in best practice including software best practice; writing functions, modular code, use of git-based version control systems and embedding peer review.
- Ability to ensure confidentiality issues and statutory information governance requirements are followed robustly
- Well-developed problem-solving skills and user centred approach to developing solutions and ensure evolving user requirements are translated into clear deliverable project outcomes.
- Excellent interpersonal skills with the ability to influence, communicate, present and capture requirements from technical and non-technical stakeholders.
- Ability to negotiate confidently and advocate for the value of data science within wider organisational priorities.
- Exercise independent judgement setting direction where appropriate, proactively escalating critical decisions with well-formed recommendations, considering organisational priorities and risks.
- Demonstrate a strong commitment to equality, diversity and inclusion. Ensure the promotion of good working relationships and inclusive team culture.
Desirable criteria
- Background in statistical methods
- Experience with Machine Learning frameworks or packages, eg. PyTorch
- Experience with cloud deployment, eg. AWS, Azure, or OpenShift
Desirable criteria may be used if we receive a large number of credible applications.
Selection Process
Stage 1: Application & Sift
You will be required to complete an application form. You will be assessed on the listed essential criteria, and this will be in the form of an:
- Application form (‘Employer/ Activity history’ section on the application)
- 750 word Statement of Suitability linked to the essential criteria in the form of Behaviour statements linked to each of the three behaviours below (please write a maximum of 250 words linked to each of the three behaviours)
Behaviours:
- Working Together
- Communicating and Influencing
- Changing and Improving
This should outline how your skills, experience, and knowledge, provide evidence of your suitability for the role, with reference to the essential criteria, including discussion of technical ability.
Please note you will not be able to upload your CV. You must complete the application form in as much detail as possible. Please do not email us your CV.
The Application form and Statement of Suitability will be marked together.
Longlisting: In the event of a large number of applications we will longlist into 3 piles of:
- Meets all essential criteria
- Meets some essential criteria
- Meets no essential criteria
Please note, only those applications meeting some or all essential criteria will be taken through.
In the event of a large number of applications we will shortlist on:
- Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, Python and/or R; whilst supporting development of coding capability across the team.
If you are successful at this stage, you will progress to interview and assessment.
Please do not exceed a total of 750 words (750 words for Statement of Suitability and 250 words per behaviour). We will not consider any words over and above this number.
Feedback will not be provided at this stage
Stage 2: Technical Assessment
You will be invited to remote Technical assessment.
You will be provided with a representative data science task and data set and have 90 minutes to construct a code-based solution.
You will then have an interactive remote discussion with a panel. Here you will present your outputs and respond to questions interactively. This session is expected to last around 30 minutes.
The assessment is predominately designed to test your coding and mathematical skills, and the marking will align to the GDD data science framework.
If you pass this stage, you will proceed to the final interview stage. Feedback will be provided at this stage.
Stage 3: Interview (success profiles)
You will be invited to remote interview.
This vacancy is being assessed using Success Profiles and Technical skills/Ability. During the interview we will assess you against the below:
3 Behaviours and 2 Technical Behaviours from the DDAT data science profile will be tested at interview.
The Behaviours tested during the interview stage will be:
- Working Together
- Changing and Improving
- Communicating and Influencing
The Technical Behaviours from the DDAT data science profile will be:
- Data Science Innovation
- Delivering Business Impact
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Location:
This role is being offered as hybrid working based at any of our Core HQ’s. We offer great flexible working opportunities at UKHSA and operate using a hybrid working model where business needs allow. This provides us with greater flexibility about how and where we work, to get the best from our workforce. As a hybrid worker, you will be expected to spend a minimum of 60% of your contractual working hours (approximately 3 days a week pro rata, (averaged over a month) working at one of UKHSA's core HQ’s (Birmingham, Leeds, Liverpool, and London)
Our core HQ offices are modern and newly refurbished with excellent city centre transport link and benefit from benefit from co-location with other government departments such as the Department for Health and Social Care (DHSC).
Please be aware that the salary is based on the office location
Senior Executive Officer (SEO)
- National £41,983 - £48,128
- Outer £44,148 - £50,121
- Inner £46,310 £52,113
Please note: If you are successful at interview, and are moving from another government department, NHS, or Local Authority, the relevant starting salary principles for level transfers or promotions will apply. Otherwise, roles are offered at the pay scale minimum for the grade, but in exceptional circumstances there may be flexibility if you are able to demonstrate you are already in receipt of an existing, higher salary. Pay increases are through the relevant annual pay award for the role and terms.
Security Clearance Level Requirement
Successful candidates must meet the security requirements before they can be appointed.
- The level of security needed is Basic Personnel Security Standard.
- Successful candidates must pass a standard disclosure and barring security check.
Eligibility Criteria
Open to all external applicants (anyone) from outside the Civil Service (including internal applicants).
Person specification
Statement of Suitability - Application Stage
Essential criteria
- Skills
- Experience
- Knowledge
- Behaviours: Working Together, Communications and Influencing, Changing and Improving
Technical Assessment
Essential criteria
- Coding & Mathematical Skills
Interview Stage
Essential criteria
- Behaviours: Working Together, Changing and Improving, Communicating and Influencing
- Technical Behaviours: Data Science Innovation, Delivering Business Impact
Applicant requirements
The postholder will have access to vulnerable people in the course of their normal duties and as such this post is subject to the Rehabilitation of Offenders Act 1974 (Exceptions) Order 1975 (Amendment) (England and Wales) Order 2020 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service to check for any previous criminal convictions.
Documents to download
Further details / informal visits contact
- Name
- John Inglis
- Job title
- Resourcing Support Officer
- Email address
- [email protected]
- Additional information
- 
Principal Data Scientist - L2: Chief Data Officer Advanced Analytics Team Lead - L2: Chief Data Officer 
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