Overview
Are you passionate about using data science to improve healthcare? Join NHS England's data science teams and play a key role in tackling complex challenges, delivering high-quality insights, and building tools that support better decisions across the NHS.
We value modern ways of working, including transparency, reproducibility, agile delivery, and open‑source tools. As a Band 7 Data scientist (Data Wrangler) you’ll collaborate with multidisciplinary teams, developing advanced data science methods, building data pipelines, and producing impactful analytical products.
Main duties of the job
* Development and maintenance of data science products
* Identification and development of data science applications across policy and operational challenges
* Research and horizon scanning for data science in health and care, including active relationships with academia and industry
* Provide support to NHS England and wider health and care sector to enable good use of data science
* Champion adoption of modern ways of working to deliver analytical products (such as transparency, reproducibility, adoption of open‑source tools, agile project management)
* Communicate analytical insight in an engaging and impactful way
* Work in multi‑disciplinary teams across NHSE to inject data science expertise into delivery of data products
* Invest in professional development of self and wider team in line with the Data Science Competency Framework for Health and Care professionals
Analytics for impact
* Apply a range of analytical techniques, in consultation with experts if appropriate, and with sensitivity to the limitations of the techniques.
* Use expertise to propose techniques appropriate to business problem and characteristics of dataset.
* Draw on expertise in several analytical techniques, including their theoretical basis and application.
* Identify key messages from analytical work, translating these into terms for use with either technical or non‑technical audiences.
* Report on your own analytical work in sufficient detail, meeting customer needs, effectively presenting results in both written and oral form.
Professional delivery & innovation
* Work with customers to understand their needs, create clear plans and set priorities which meet the needs of both the customer and the business.
* Deliver good customer service which balances quality and cost‑effectiveness.
* Identify areas of potential risk in own and others' work, selecting and using appropriate Quality Assurance methods and suggesting appropriate mitigation of risk.
* Actively identify and take opportunities to promote data science to wider community.
* Experiment with innovations, manage and learn from failures and share lessons learned within the team.
* Apply knowledge of new and evolving technologies, including open‑source software, suggesting appropriate methods and techniques to incorporate in project work.
* Use data exploration techniques to understand the characteristics of a dataset, evaluate suitability for subsequent analysis and explain this to other analysts.
* Apply data engineering standards and tools to create and maintain data pipelines.
* Document and communicate the details of data structures to others.
* Design, code, verify, test, document, amend and refactor moderately complex programs/scripts.
* Collaborate in reviews of work with others as appropriate.
* Proactively adopt practices that ensure rigorous and reproducible findings in development of analytical data products.
* Understand how your work and the work of your team supports wider objectives and meets the diverse needs of stakeholders.
* Focus on overall goals and not just specific tasks to meet priorities.
* Show pride and passion for your work and positive, inclusive engagement with your team.
* Contribute to an inclusive working environment where all opinions and challenges are listened to, and all individual needs are taken into account.
* Change ways of working to aid cooperation within and between teams in order to achieve results.
* Offer support and help to colleagues when in need, including consideration of your own and their wellbeing.
Qualifications and experience
* Post‑graduate degree in a technical subject (such as Statistics, Mathematics, Physics or Computer Science) or equivalent specialist experience.
* Relevant experience in applying data science techniques to real‑world problems.
* Experience designing and maintaining data pipelines and analytical products.
* Experience working with multidisciplinary teams and communicating complex findings to non‑technical stakeholders.
* Experience within a healthcare or public sector context is desirable.
Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Employment details
* Employer: NHS England
* Locations: Leeds / London
* Salary: £49,387 to £56,515 per annum (exclusive of London weighting)
* Contract: Permanent
* Working pattern: Full‑time, Part‑time, Job share, Flexible working
* Reference number: 990‑TDD‑D&A‑EC2887‑E
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