Data Scientist inCanary Wharf inCanary Wharf PUBLISHED WED 22 JAN 2025

The data scientist / econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will work in a collaborative environment, with data scientists, health economists, project managers, data engineers and other healthcare professionals to extract, transform, and clean data ready for analytical projects. You will work on various research projects as commissioned by our clients under a consultancy model, which will take up to 80% of your time (this may change as the work of the unit evolves).

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Plan, organise, and deliver data and analytics for projects, including:

• Building predictive models to forecast admissions/discharges, optimising resources and reducing bottlenecks in emergency departments.
• Analysing health disparities across populations by socio-economic factors, geography, or access to care.
• Applying NLP to unstructured data (e.g., clinician notes, patient feedback) for insights into patient needs.
• Using machine learning to predict outcomes like readmission rates or disease progression, supporting proactive care.
• Developing econometric models to assess the impact of healthcare policies on health, utilisation, and costs.

Analyse datasets to identify trends, apply statistical models to solve business problems, and choose appropriate methods for data processing. Follow and improve best practices in data analysis and econometrics. Manage, adapt, and enhance software systems used for analysis.

Develop data and analytics policies affecting HEU, implementing changes once approved. Quality-assure team outputs, ensuring high standards. Act as a subject-matter expert, working independently within guidelines and seeking advice when needed.

Participate in business development meetings, lead proposal writing on data science aspects, understand client aims, plan solutions, and estimate project costs.

About us

Data science function

Plan, organise and deliver the data and analytic aspects of projects. Projects could include:

o Building predictive models to forecast patient admissions and discharges, helping optimise hospital resources and reduce bottlenecks in areas like emergency departments.

o Analysing disparities in health outcomes across different populations, identifying factors like socio-economic status, geography, or access to care that contribute to inequalities.

o Applying NLP techniques to unstructured text data, such as clinician notes or patient feedback, to extract key information and improve understanding of patient needs and outcomes.

o Using supervised and unsupervised machine learning techniques to predict outcomes such as readmission rates, disease progression, or patient deterioration, aiding proactive care.

o Developing econometric models to evaluate the effects of healthcare policies or interventions on key outcomes, such as patient health, hospital utilisation, or treatment costs.

Analyse datasets to identify trends and patterns, and applies statistical models to solve business problems; make decisions on appropriate methods for data cleaning, processing, and analysis.

Follow data analysis and econometrics best practices and contribute to the ongoing development and improvement of these.

Be able to use, adapt and improve systems and software used to deliver statistical analysis and other functions as required for projects.

Propose and develop policies and procedures relating to data and analytics, which affect the HEU. Implement changes once agreed with the relevant person or group.

Appraise and quality assure the analytical outputs from the team.

Act as a specialist in own area and achieve own objectives. Act independently within established guidelines, escalating and seeking advice as required.

Undertake business development meetings, supported by colleagues. Lead on and contribute to proposal writing, with a focus on data science aspects of the work. This includes understanding the client aims and scope of project, identifying how we can achieve this, and calculating cost.

Team-working

Provide guidance to junior team members, demonstrating best practices and assisting with technical challenges.

Proactively provide training and share knowledge on areas of expertise to the wider unit.

Deliver training to clients on own area of expertise.

Work independently on data projects within established guidelines, with advice available when required.

Communication and networking

Communicate complex information and insights to non-technical stakeholders in a way which can be easily understood. This may be written or oral.

Write high-quality reports which effectively communicate our findings in an engaging way, focussing on impact and achieving our clients goals.

Be able to synthesise multiple sources to communicate on complex issues.

Understand client needs and objectives, working with the client and team to find solutions and achieve these goals.

Make judgements where there are conflicting views and make decisions where necessary, working with all parties to achieve buy-in.

Contribute to other areas of the HEU to support our wider development as a unit and as a team.

Proactively work with the senior communications manager to help promote our work, contributing to the communications plan of the HEU and sharing our work so that we contribute to the development of analytics in the NHS.

Project and financial management

Lead on small projects and work with others to deliver projects to time, scope, budget and quality.

Plan and organise complex data analysis tasks, ensuring that project timelines are met; adjusts activities based on evolving data requirements.

Ensure that projects are delivered to budget, including the cost of own time spent on a project, and where potential for budget deviation is identified, flag the issue as early as possible.

Horizon-scan and identify potential issues before they occur, and work to resolve issues where they do occur.

Follow all business processes of the HEU.