Principal Data Scientist

Company:
Location: Leeds LS1

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About the role

You will join our Data Science & Innovation Team, an exciting area where you will be working with unique datasets, advanced analytical techniques and modern tools to deliver insights and data products that will transform operational processes and empower senior decision-makers.

Examples of the kind of projects you’ll be able to work on:

  • building machine learning models to predict hospital attendance and to predict demand for critical services during the coronavirus pandemic.

  • using Natural Language Processing to understand patient experience and enrich new datasets.

  • reviewing new analytical methods to measure hospital mortality.

We are a diverse, mutually supportive team, and have a very strong focus on staff development – we are all learning together.


As a Principal Data Scientist you will:

  • Embrace innovation, flexibly using the best tools for the job (usually open source), leveraging a powerful data platform that is built specifically for analytical use, and working with incredibly rich health datasets that are unique in the world.

  • Have an enthusiasm for Data Science / Machine Learning, and for expanding the team’s (and your own) analytical competence

  • Share responsibility for building the data science specialism within NHS Digital and ensuring that our team is a great place for data scientists to work.

  • Work in small agile squads, to deliver prioritised work packages from the discovery stage through to deployment as live services or high impact analytical outputs.


About you

Some of the key areas you’ll have skills and experience you'll bring:

  • Analytics: Advanced specialist data science skills – such as machine learning, data linkage, information retrieval. Experience of applying these skills to deliver business value.

  • Professional Standards: Developed knowledge of professional standards and their application to assure the quality of analytical work.

  • Achieving impact with analysis: Skilled in shaping analytical projects to meet customer requirements. Experience communicating complex and technical information to non-technical customers and stakeholders at all levels.

  • Data and software engineering: Specialised working knowledge of databases, building data pipelines and working with large / unstructured datasets. Highly developed knowledge of current analytical development tools (e.g. python, R); expertise in good software engineering practices for building data products.

  • Delivery: Experience of leading on a range of projects, allocating work to and mentoring other staff to deliver quality outcomes.

  • Qualifications: Education to a Master’s degree level in a numerate discipline, or an equivalent level of knowledge.


What we offer

In addition to a competitive salary with planned, transparent progression you can look forward to the following benefits:

  • 27 days annual leave entitlement increasing with service

  • Buy and sell annual leave scheme

  • Contributory Pension (with a 20.6% contribution from us toward the cost of your pension)

  • Flexible working opportunities

  • A range of NHS Discounts covering, for example, shops, restaurants, gym, mobile phones and insurance

  • Employees schemes including a Season ticket loan and Car Lease

For more information visit Working at NHS Digital page.

About us

We are the national information and technology partner to the health and care system. Our task is to build and run excellent digital products and services that NHS and care staff across the country can rely on every day.

Find out more about the amazing work we do here.


Next Steps

Video interviews for successful applicants will take place between 24th - 26th of May. Applicants selected for interview will be contacted by email.

To view further information please see role profile, to apply for the role click apply, below.

NHS Digital values and respects the diversity of prospective candidates and aims to recruit a workforce which reflects this, with that in mind candidates requiring flexible working hours will be considered.

*** Mention DataYoshi when applying ***

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