AI & Systems Modeller

UK Health Security Agency -
London

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Job details

Permanent | Part-time | Full-time
£56,185 - £70,566 a year
3 hours ago

Benefits

Company pension
Transport links
Pay rise

Qualifications

Oracle
SQL
Presentation skills
Machine learning
IT
Data science
AI
Financial acumen

Full job description

Details

Reference number

464472

Salary

£56,185 - £70,566

per annum pro rata

Please be aware that the salary is based on the office location:

Grade 7
£56,185- £66,581 (National)
£58,340- £68,574 (Outer London)
£60,494- £70,566 (Inner London)

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.

A Civil Service Pension with an employer contribution of 28.97%

GBP

Job grade

Grade 7

Contract type

Permanent

Type of role

Digital
Finance
Information Technology

Working pattern

Flexible working, Full-time, Job share, Part-time

Number of jobs available

Location
About the job
Benefits
Things you need to know
Apply and further information

Location

Any Core HQ : Birmingham(23 Stephenson Street) , Leeds(Quarry House), Liverpool(Cunard Building), London(10SC, Canary Wharf)

About the job

Job summary

The AI & Systems modeller is the owner of the algorithms that form the foundation of finance insights. In this role, you will ensure business users have seamless access to actionable intelligence with limited human intervention. You will champion an 'Expert-in-the-loop' (HITL) methodology, ensuring that AI generated insights are validated by financial subject matter experts to combine statistical precision with institutional knowledge. You will create, maintain, monitor, and adjust AI and machine learning (ML) -based systems and establish automated frameworks that underpin analytic tools, deploying sophisticated analytics at scale and enabling data-driven decision making.You will collaborate with product managers and cross-functional teams to assist in building user-centric AI capabilities integrated into core finance processes.

Your role will help the organisation shift from routine analysis to continuous model enhancement and decision enablement. You will define, track, and communicate the business value generated by deployed models, including improvements in forecast accuracy, cost savings, and decision cycle reduction.

To be successful in this role, you must bring a strong blend of data science expertise, technological proficiency, and financial acumen. This position offers a unique opportunity to shape the future of analysis and performance in a tech-first, analytics-driven finance function.

Working for your 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.

Job description

Operationalise and Design AI/ML Models to Enhance Decision Support
Validate and Monitor Model Performance
Integrate Data and Knowledge Sources

Operationalise and Design AI/ML Models to Enhance Decision Support:

Design and develop models that directly address key business challenges, delivering clear, actionable insights that support financial decisions and improved operations. Occasionally, conduct ad hoc analyses to address urgent business needs.
Ensure seamless integration and embedding of AI/ML solutions with core finance planning and analytics platforms and next-generation data architectures to enable scalable, real-time decision support, replacing manual processes and static reporting within core workflows.
Deliver model outputs through intuitive, user-facing tools (to empower real-time, self-service analytics across finance and business functions, enabling decision making at scale.
Leverage modern MLOps practices such as versioning, performance monitoring, and automated retraining pipelines to ensure models remain scalable, relevant, and operationally excellent.
Apply advanced techniques such as supervised and unsupervised learning, reinforcement learning (RL), generative modeling, and feature engineering to build scalable models.
Design automated variance analysis loops that systematically compare generated forecasts against financial quarter/annual closed actuals. Use these variance outputs to identify error patterns and trigger back-feeds for model retraining.

Validate and Monitor Model Performance:

Conduct rigorous testing and validation of models using metrics such as accuracy, precision, recall, and cross-validation against business KPIs, A/B testing, and Explainable AI to ensure reliability and transparency.
Validate the integrity of fully automated data pipelines. Promptly identify and report any data quality issues or anomalies to maintain compliance with governance standards.
Proactively monitor and improve model performance against defined business KPIs, identifying improvement areas to optimise performance and reliability. Additionally, track and report adoption KPIs for model outputs to lead targeted enablement and drive iterative enhancements, maximizing business value realisation and user satisfaction.
Leverage modern MLOps practices to detect Data Drift and Concept Drift early. Establish automated triggers that initiate retraining pipelines when model variance against actual financial data exceeds defined thresholds.
Ensure models adhere to AI governance policies, regulatory standards, and ethical guidelines, including bias mitigation and explainability.
Implement model risk controls, maintain audit trails, and ensure documentation supports auditability and compliance with evolving regulatory requirements.

Integrate Data and Knowledge Sources:

Integrate diverse data sources into model pipelines, including structured, unstructured, and tacit knowledge.
Identify potentially valuable new data sources and evaluate their impact on model performance through exploratory testing and validation, ensuring any additions enhance predictive accuracy and align with governance standards.
Partner with data architects to design conceptual and physical data models, ensure end-to-end data lineage, and uphold robust data governance across all model inputs and outputs.
Support training and enablement efforts to help users effectively engage with model-driven tools.

Person specification

Essential role criteria

Data engineering skills and expertise and experience of low code/coding (e.g. SQL)
Experience designing feedback systems where actuals (ground truth) are automatically fed back to update model weights. Understanding of Model Drift (detecting when financial patterns shift) and strategies to mitigate it.
Demonstrable experience with large-scale datasets and machine learning.
Proven ability to adapt models to evolving business needs and regulatory requirements and be able to demonstrate proactive approach to maintaining up-to-date understanding and translation of complex information and practical guidance.

Desirable role criteria:

Demonstrated success in developing and maintaining models for forecasting, risk assessment, scenario planning, or decision support.
Knowledge of Reinforcement Learning agents and their application in optimization problems.
Experience with Active Learning workflows, where human expert feedback is captured to retrain models.
Experience working with cross-functional teams, including finance, IT, and compliance, to co-create solutions that address finance challenges.
Familiarity with Oracle Cloud platform

Benefits

Alongside your salary of £56,185, UK Health Security Agency contributes £16,276 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides .

Learning and development tailored to your role
An environment with flexible working options
A culture encouraging inclusion and diversity
A Civil Service pension with an employer contribution of 28.97%

Things you need to know

Artificial intelligence

Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance for more information on appropriate and inappropriate use.

Selection process details

This vacancy is using Success Profiles and will assess your Behaviours/Ability/ Experience/Technical skills.

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 a:

Application form (Employer/ Activity history section on the application)
1,000 word Supporting Statement

Healthjobs UK has a word limit of 1, 500 but your supporting statement must be no more than 1,000 words. We will not consider any words over 1,000 words.

This should outline how you consider your skills, experience and knowledge provide evidence of your suitability for the role, with reference to the essential criteria.

You will receive a joint score for your application form and statement. The application form is the kind of information you would put into your CV. Please be advised you will not be able to upload your CV. Please complete the application form in as much detail as possible. Please do not email us your CV.

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

If used, the pile(s) Meets all essential criteria and Meets some essential criteria will proceed to shortlisting.

Shortlisting

In the event of a large number of applications we may conduct an initial sift, on the lead criteria of :

Data engineering skills and expertise and experience of low code/coding (e.g. SQL).
Experience building and deploying AI/ML models, preferably in a finance or enterprise analytics conte

Desirable criteria may be used in the event of a large number of applications/successful candidates.

If you are successful at this stage, you will progress to interview & assessment.

Feedback will not be provided at this stage.

Stage 2: Interview

You will be invited to a ( single ) face to face interview. In exceptional circumstances, we may be able to offer a remote interview.

Behaviours and Technical skills will be tested at interview.

Behaviours :

Changing and Improving (Lead)
Making Effective Decisions
Communication and Influencing
Working Together
Managing a Quality Service

There will be a Presentation aimed to assess your technical skills. The topic will be : Provide an example of where you have developed a business solution using Machine Learning? What was the situation, what solution did you
implement and why? What was the result?

Interviews dates to be confirmed.

Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

Qualifications and Registrations

For roles where specific qualifications or registrations are required, successful applicants will be asked to provide appropriate evidence. Employment cannot commence until satisfactory documentation has been received and verified.

Eligibility Criteria - External

Open to all external applicants (anyone) from outside the Civil Service (including internal applicants).

Location - Any Core HQ

This role is being offered as hybrid working based at any of our Core HQs. 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 HQs (Birmingham, Leeds, Liverpool, and London). Our core HQ offices are modern and newly refurbished with excellent city centre transport links and benefit from co-location with other government departments such as the Department for Health and Social Care (DHSC).

Future location

UKHSA is investing in a new state-of-the-art National Biosecurity Centre in Harlow, Essex, which will eventually bring together teams currently based at Canary Wharf, Colindale and Porton Down. For more details, please see: Huge biosecurity centre investment to boost pandemic protection - GOV.UK.

The new facilities will start becoming operational in the mid-2030s, with full completion by 2038. Staff will move in phases as facilities become available. If you're appointed to a role currently based at Canary Wharf, Colindale or Porton Down, please note that we'll continue investing in these sites for the next decade. As we get closer to the transition, we'll provide full information about relocation support available to staff.

Reasonable Adjustments

The Civil Service is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, we will consider any reasonable adjustments that could help you. An adjustment is a change to the recruitment process or an adjustment at work. This is separate to the Disability Confident Scheme. If you need an adjustment to be made at any point during the recruitment process you should contact the recruitment team in confidence as soon as possible to discuss your needs.

You can find out more information about reasonable adjustments across the Civil Service here: https://www.civil-service-careers.gov.uk/reasonable-adjustments/

International Police check

If you have spent more than 6 months abroad over the last 3 years you may need an International Police Check. This would not necessarily have to be in a single block, and it could be time accrued over that period.

Internal Fraud check

If successful for this role as one aspect of pre-employment screening, applicants personal details name, national insurance number and date of birth - will be checked against the Cabinet Office Internal Fraud Hub and anyone included on the database will be refused employment unless they can show exceptional circumstances. Currently this is only for External candidates to the Civil Service.

Careers website

Please visit our careers site for more information https://gov.uk/ukhsa/careers

Please note: The Chief Operating Officer (COO) group, where this role sits, is undergoing organisational change over the next 1218 months. While the process is still in the planning stage, some roles may be affected by future restructuring. We are committed to keeping candidates informed and will share updates as they become available.

Security Clearance Level Requirement

Successful candidates must pass a basic disclosure and barring security check before they can be appointed.

Successful candidates must meet the security requirements before they can be appointed. The level of security needed is:

Baseline Personnel Security Standard
Security Clearance

For meaningful National Security Vetting checks to be carried out individuals need to have lived in the UK for a sufficient period of time. You should normally have been resident in the United Kingdom for the last 5 as the role requires Security Check (SC). UK residency less than the outlined periods may not necessarily bar you from gaining national security vetting and applicants should contact the Vacancy Holder/Recruiting Manager listed in the advert for further advice.

Feedback will only be provided if you attend an interview or assessment.

Security

Successful candidates must undergo a criminal record check.

Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check .

See our vetting charter .

People working with government assets must complete baseline personnel security standard (opens in new window) checks.

Nationality requirements

This job is broadly open to the following groups:

UK nationals
nationals of the Republic of Ireland
nationals of Commonwealth countries who have the right to work in the UK
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS)
nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Further information on nationality requirements

Working for the Civil Service

The Civil Service Code sets out the standards of behaviour expected of civil servants.

We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles .

The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.

Diversity and Inclusion

The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy .

Apply and further information

The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window).

Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.

Contact point for applicants

Job contact :

Name : Jayesh Patel
Email : [email protected]

Recruitment team

Email : [email protected]

Further information

The law requires that selection for appointment to the Civil Service is on merit on the basis of fair and open competition as outlined in the Civil Service Commission's Recruitment Principles.

If you feel your application has not been treated in accordance with the Recruitment Principles, and you wish to make a complaint, in the first instance, you should contact UKHSA Public Accountability Unit via email: [email protected]

If you are not satisfied with the response you receive from the Department, you can contact the Civil Service Commission: Visit the Civil Service Commission website: https://civilservicecommission.independent.gov.uk

http://www.healthjobsuk.com/vacancy/8001990

Apply Now

Details

Reference number

Salary

Job grade

Contract type

Type of role

Working pattern

Number of jobs available

Contents

Location

About the job

Job summary

Working for your organisation

Job description

Person specification

Benefits

Things you need to know

Artificial intelligence

Selection process details

Security Clearance Level Requirement

Security

Nationality requirements

Working for the Civil Service

Diversity and Inclusion

Apply and further information

Contact point for applicants

Job contact :

Recruitment team

Further information

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