Data Science Lead

West and North London Integrated Care Board ( WNL ICB) are recruit ing 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 operation al 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 perpetuat e existing health inequalities and must feel confident promoting the se principles .

Independently d eliver ing end-to-end data science projects yielding actionable insights and tools in production that enable users to tackle real-world strategic and operational problems . C onsidering user needs, data quality and management, user experience and engagement, deployment, and making best use of statistical and machine learning methods.

Rigorously applying appropriate advanced statistical and data science methodologies to generate robust and reliable insights communicated with appropriate levels of uncertainty

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

Advanced use of open-source analytical tools (including R or Python) to develop and deploy (Snowflake, Docker, Github Actions) models and applications , and to a ss ess and monitor model outputs

Set technical standards, actively contribute to high-level architectural decisions and i dentify development opportunities for yourself and those around you and adopt innovative practices learned from the wider analytics community

Matrix management and coaching of senior data scientists to deliver advanced models and productionise tool .

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

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.