Trac proudly powers the recruitment for
West and North London ICB
About
Who we are
The NHS West and North London Integrated Care Board (ICB) is the official NHS organisation that makes important decisions about health and care across west and north London. We are responsible for planning services, setting budgets, and making sure the NHS is working well for local people.
What we do
• We plan and fund health and care services for our communities
• We make sure money is used in the right places to help people stay healthy
• We check how well services are performing and support improvements
• We work with GPs, hospitals, mental health teams and community services
• We make sure care is safe, fair and high quality for everyone.
How we work
The ICB is part of NHS West and North London, which is the parent organisation for our area. We work closely with:
• the West and North London Integrated Care System (ICS) – our partnership with councils, charities and community groups
• the West and North London Integrated Care Partnership (ICP) – where partners agree shared priorities for local people.
Together, we help local services work better and plan for the future.
Contact
- Address
- West and North London Integrated Care Board
- Ferguson House
- 15 Marylebone Road
- London
- NW1 5JD
- Contact Number
- 020 3688 2900
Data Science Lead
Accepting applications until: 27-Sep-2026 23:59
Vacancy status: Open
Accepting applications until: 27-Sep-2026 23:59
Key details
Location
- Gwefan
- Marylebone Road,
- Tref
- London
- Cod post
- NW1 5JD
- Major / Minor Region
- London
Contract type & working pattern
- Contract
- Permanent
- Oriau
- Full time - 37.5 hours per week
Salary
- Cyflog
- £75,328 - £86,114 Per annum inclusive of HCAS
- Cyfnod cyflog
- Yearly
- Gradd
- (NHS AfC: Band 8b)
Specialty
- Prif leoliad
- Data Science
If you are looking for a varied, challenging and rewarding role, West and North London offers an excellent opportunity to make a real difference to local residents.
This is an exciting time to work in commissioning as the NHS continues to evolve. We support career development at every stage and encourage staff to build on their strengths through ongoing learning and training opportunities.
We work closely with partner organisations across West and North London to deliver the best possible care for local communities and remain committed to equality and diversity.
Artificial intelligence (AI) is a set of technology that can perform various tasks that typically required human intelligence. Your application is your opportunity to demonstrate to us how you meet the requirements of the role.
We recognise that AI tools can support accessibility, equity and confidence for applicants. However, it’s important that examples and responses genuinely reflect your own experience and abilities, as these will be explored further during the selection process. AI must not be used to provide misleading or false information during any stage of the application journey.
Further guidance can be found in the NLPSS Applicant Toolkit https://royalfree.pagetiger.com/cuuomnr/1
West and North London Integrated Care Board is committed to ensuring that its recruitment processes are carried out with integrity, transparency, and fairness for all applicants. To help maintain these standards, we ask candidates to provide accurate and truthful information throughout the recruitment process.
If incorrect or misleading information is identified, this may affect the progression of an application, any employment offer, or continued employment. As part of our due diligence, the company may verify the information provided by applicants and take appropriate action where necessary.
We do not charge applicants any fees at any stage of the recruitment process, including applications, interviews, sponsorship arrangements, pre-employment checks, or employment offers. All vacancies are advertised through TRAC/NHS Jobs and candidates are assessed solely on their skills, qualifications, experience, and suitability for the role. If you are asked to make a payment in connection with an NHS job opportunity, please treat this as suspicious and contact the organisation directly using the details published on our official career's website.
Applicants can refer to the Fraud Act 2006 for further information: https://www.legislation.gov.uk/ukpga/2006/35/contents
Trosolwg o'r swydd
West and North London Integrated Care Board (WNL ICB) are recruiting a Lead Data Scientist to build out our in-house data science capability at an exciting time in our development. Through our investment in One London, we hold linked, person-level data spanning primary care, hospitals, mental health, community and social care for our population, a rich asset to model from. We've recently migrated our analytics platform to Snowflake, so you'll be shaping a modern, cloud-native stack from an early stage.
As an experienced technical leader and researcher, you'll use advanced predictive and prescriptive methods (causal inference, stochastic simulation, Bayesian hierarchical modelling, machine learning and more) to tackle real strategic and operational questions, e.g., forecasting the financial and population health impact of a new service before it launches, building risk models to identify who could benefit from proactive care, simulating the impact of a business case before money is committed, and evaluating whether the care models we've introduced are actually working. You'll productionise these into tools used across the WNL health and care system, impacting real-world strategic, operational and clinical decision-making. You’ll play a key role in ensuring these new data and technologies are used responsibly and ethically to ensure this innovation does not perpetuate existing health inequalities and must feel confident promoting these principles.
Advert
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Independently delivering end-to-end data science projects yielding actionable insights and tools in production that enable users to tackle real-world strategic and operational problems. Considering user needs, data quality and management, user experience and engagement, deployment, and making best use of statistical and machine learning methods.
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Rigorously applying appropriate advanced statistical and data science methodologies to generate robust and reliable insights communicated with appropriate levels of uncertainty
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Maintaining knowledge of a broad range of advanced statistical methodologies to identify and apply the most appropriate technical solution to a given problem, alongside a modelling specialism in line with the seniority of the role
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Advanced use of open-source analytical tools (including R or Python) to develop and deploy (Snowflake, Docker, Github Actions) models and applications, and to assess and monitor model outputs
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Set technical standards, actively contribute to high-level architectural decisions and identify development opportunities for yourself and those around you and adopt innovative practices learned from the wider analytics community
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Matrix management and coaching of senior data scientists to deliver advanced models and productionise tool.
Gweithio i'n sefydliad
Who we are
We are NHS West and North London. We are the main commissioning NHS organisation for planning and funding health services across our area. Our job is simple: to help people stay healthy and to make sure everyone can get good care when they need it.
We bring together many health and care services across west and north London. This means we help hospitals, GPs, community services, councils and charities work better together for local people.
NHS West and North London (WNL) serves over 4.5 million people and covers 13 London boroughs. (Barnet, Brent, Camden, Ealing, Enfield, Hammersmith & Fulham, Haringey, Harrow, Hillingdon, Hounslow, Islington, Kensington & Chelsea and Westminster)
What we do
- We plan and fund local health and care services
- We support GPs, hospitals, mental health teams, community clinics and pharmacies.
- We work with councils and community groups so care is joined-up and easy to use.
- We listen to local people and use their ideas to improve services.
- We want health and care to be fair, simple and close to home.
Our strategy
- Reducing inequalities
- Investing strategically to prevent ill health
- Better supporting people with the greatest needs, so everyone stays well
- Make care more local and easier to access Empowered local people that feel more confident about their health and wellbeing
Swydd-ddisgrifiad a phrif gyfrifoldebau manwl
- Follow a data ethics framework ensuring compliance with AI fairness and transparency standards and maintain a firm understanding of the governance landscape in healthcare
- Apply understanding of NHS pathways, service interfaces, and operational pressures to ensure analysis reflects real-world context and supports evidence-based interventions.
- Working with stakeholders to understand the underlying business need and applying your knowledge and influencing skills to co-design appropriate project plans including problem articulation, project scoping and design, communication, deployment and evaluation.
As a proactive member of data science communities, you’ll collaborate with local academic and nationwide NHS partners. Locally you will set technical standards and architectural direction within data science as our stack matures, and support other data scientists to develop and deploy advanced solutions.
If you'd enjoy the freedom to shape a growing data science capability, build models on a rich linked dataset in a cloud native platform, and see your models genuinely change how care is planned and delivered, we'd love to hear from you.
Please see the attached Job Description and Personal Specification for full duties and responsibilities.
Closing date: 27th September 2026
Task release: w/c 12th October 2026 (approximate)
Date of Interview: w/c 26th October 2026 (approximate)
Note: dates may change if the volume of applications is high.
We reserve the right to close any vacancies when we have received sufficient applications to shortlist.
Applicants who can clearly demonstrate how they meet our role profile requirements will be shortlisted for interview. To enquire about your application or inform us of any changes in your circumstances please ensure you quote your application reference number.
Please ensure you check your email account regularly as this is how we will communicate with you. Invitations for interview are sent by email only, so it is important that you monitor your emails once you have submitted an application online. If you have not heard from us within a month of the closing date you should presume that you have not been shortlisted.
If you are offered a job, information will also be transferred into the national NHS Electronic Staff Record (ESR) system and other secure, internal NHS workforce systems in order to support and manage your appointment within the organisation.
We are committed to safeguarding and promoting the welfare of children, young people and vulnerable adults.
As part of our safe recruitment practice pre-employment checks will be undertaken before any appointment is confirmed. Depending on the role a Criminal Records check may be required, all cases of criminal record history are dealt with on a case-by-case basis.
Please note, in order to progress your application your data will be processed by our 3rd party recruitment providers – North London Partners Shared Service (NLPSS). As part of pre-employment checks your identity and right to work documentation will be verified remotely (in most circumstances), using a certified identity verification service provider TrustID. You will be asked to capture an image of the relevant documents as well as a “selfie” using your smartphone/tablet (if available) for facial matching. TrustID will also perform a digital address check using Trunarrative and Equifax, which is a soft check and does not leave a footprint on your credit rating. For more information, visit www.trustid.co.uk
References will be required to cover your last 3 years of employment/training. One has to be from your current or most recent employer and the others from your previous employer. The references should be from persons with management responsibility or HR.
The West and North London Integrated Care Board (WNL ICB) uses electronic new starter forms on Trac to collect personal details. Information collected is securely stored and used to set up the employee record on the ESR HR system.
By applying for this role, you accept in the event you are successful that your personal data may be transferred between NHS organisation where your employment transfers within the NHS. This is in accordance with the streamlining programme which is aimed at improving efficiencies within the NHS both to make costs savings for NHS organisations but also to save you time when your employment transfers.
Person specification
Education/ Knowledge and Qualifications
Meini prawf hanfodol
- Educated to Master level / equivalent experience in Data/analytics field
- Evidence of post qualifying and continuing professional development
- Demonstrable knowledge in relevant analytical fields, their associated methods, and their potential for application within healthcare, including advanced statistics, epidemiology, data science, econometrics, and operational research
- Expert knowledge of the role of analysis in improving decision quality and be capable of supporting advanced decision–making methods (e.g. multicriteria decision analysis)
- Expert understanding of advanced analytical methods, including a specialism of one or more of machine learning, simulation or, causal inference. Knowledge covers modelling, best practices in training, deployment, monitoring and ethics
- An understanding of the aims of current healthcare policy in London, including the background of the policy and its implications
Meini prawf dymunol
- Educated to PhD level or equivalent level of experience of working in an industry role applying data science methods
- An active member of relevant professional body and/or wider analytical networks.
- Good understanding of the principles of data engineering best practices
Expierence
Meini prawf hanfodol
- Track record of independently leading work with system leaders to influence decision making and translate analytics projects into real world system wide transformation
- Demonstrated experience several of the following with at least one specialism: Simulation methods, such as Discrete Event Simulation, System Dynamics, and MCMC. Regression modelling, generalised linear models such as logistic or Poisson, multilevel models, Analysis of Variance. Bayesian approaches to modelling Causal inference Epidemiology Machine Learning / predictive models: regression/classification trees, random forests, boosting, neural networks Experimental design and applying the appropriate testing framework to analytics. Observational study design using real world data
- Expert in open-source scripting languages, such as Python/ R
- Expert in the using the tools of reproducible analytic pipelines, such as git, GitHub, package development, documentation, automation, and code review
- Experience working with real world data routinely collected from operational systems such as Electronic Patient Records (EPRs
- Experience supporting team members to develop professionally
- Experience of managing projects using project principles techniques and tools such as Prince 2, CRISP-DM and agile
- Experience delivering automated operational tools such as automating manual reporting processes or deploying models or applications in production
Meini prawf dymunol
- Experience of orchestrating and quality assuring data pipelines on a cloud platform (e.g., DBT in Snowflake)
- Experience of model deployment and associated tools
- Experience of model monitoring methods and associated tools
Skills and Abilities
Meini prawf hanfodol
- Expert knowledge of predictive, prescriptive and/or evaluative analytical techniques
- Expert in delivering actionable insights using static and/or interactive data visualisation where appropriate
- Able to scope several solutions to a business problem and triage to propose the most appropriate solution within the operational constraints and resolution needed to make a decision
- Proven skills in working collaboratively across organisations and managing conflicting expectations
- Evidence of delivering results through others using a range of levers in the absence of direct line management responsibility
- Problem solving skills and ability to respond to sudden unexpected demands
Meini prawf dymunol
- Knowledge of information governance and clinical assurance processes required to use NHS data in PHM products
Communication
Meini prawf hanfodol
- Ability to explain the principles, results, implications, strengths and limitations of analytical methods to technical and non-technical audiences
- Provide and receive highly complex, sensitive and contentious information, negotiate with senior stakeholders on difficult and controversial issues, and present complex and sensitive information to large and influential groups.
- Persuade team members and stakeholders of the respective merits of different options, innovation and new tech opportunities.
- Able to communicate findings and clear actionable insights to non-analyst colleagues
Effort factors
Meini prawf hanfodol
- Capable of managing own workload and making informed decisions in the absence of required information, working to tight and often changing timescales
- Proactively identifies areas for professional development and able to independently learn technical skills
- Able to make decisions autonomously when required and appropriate
Values and Behaviours
Meini prawf hanfodol
- Commitment to the values and principles of system working agreed across the ICB footprint
- Ability to actively promote equality, diversity and inclusion within all areas of responsibility
- Demonstrates a strong desire to improve outcomes and make a difference by focusing on goals.
Documents
Further details / informal visits contact
- Enw
- Emily Baldwin
- Teitl y swydd
- Head of Data Science
- Cyfeiriad ebost
- [email protected]
- Gwybodaeth i gefnogi eich cais
For further information or an informal discussion about the role, please contact: Emily Baldwin Head of Data Science, [email protected]
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