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Applying for an NHSX Analytics Unit internship

Applications for the second and third waves of the scheme (for placements starting in January and June 2022) closed on 5 November 2021.

How to apply

There is an open recruitment to all eligible candidates with three available places on the scheme.

Any application will need to be accompanied by a supporting statement from your supervisor. As part of the application you'll be asked to specify which projects you’re interested in, detailing relevant experience in these areas.

Eligibility criteria

Students will:

  • need to provide proof of a legal right to study in the UK or satisfy the current requirements of UK Visa and Immigration
  • be enrolled on a PhD programme in a quantitative field of study (such as mathematics, statistics, data engineering, computer science, data science or physics) during the course of the internship
  • need a statement from the current PhD supervisor confirming the student is able to conduct this work alongside their study or that the student will take a break from their current funding whilst conducting this work
  • need a statement from the current PhD supervisor outlining their interest and willingness to support the student academically throughout the project alongside NHSX project supervisors

Assessment criteria

Skills and experience

Successful candidates should be able to demonstrate:

  • relevant experience in the project area as set out in the project brief
  • demonstrate an understanding of datasets and data sources including the quality and reliability of the data, preferably healthcare datasets
  • good understanding of analytical tools and is highly numerate
  • previous experience in a similar role in the public sector.
  • evidence of success in effective project and programme management
  • ability to use a range of coding tools, languages and analysis software
  • quality assurance, validation and data linkage abilities
  • ability to make complex and technical information and language simple and accessible for non-technical audiences
  • ability to work without supervision
  • able to work on own initiative, organising and prioritising own and others workloads to changing and often tight deadlines
  • an ability to maintain confidentiality and trust

Personal attributes

Successful candidates should be able to demonstrate:

  • commitment to and focused on quality, promoting high standards in all they do
  • adaptability, flexibility and ability to cope with uncertainty and change
  • able to make a connection between their work and benefits to patients and the public
  • consistently thinking how their work can support clinicians and frontline staff deliver better outcomes for patients
  • values diversity and difference operating with integrity and openness
  • works well with others, is positive, helpful, respects and learns from the contribution of others
  • consistently looks to improve what they do, seeks out innovation
  • actively develops themselves and supports others to do the same

Indicative timeline

Application opening date

Applications opened on 4 October

Application closing date

Applications closed on 5 November

Panel interviews

Third week of November

Outcome communicated

First week of December

January wave start date

Second week of January

June wave start date

First week of June

Please note these dates are only indicative at this stage and could be subject to change.

Terms of appointment


PhD Intern



Responsible to

Lead Data Scientist

Pay band

Band 6 Spine 1 - Agenda for Change


Temporary - three months




There are two payments associated with this scheme:

Applicant wage

For the duration of the internship, the student will be paid as an NHS band 6 (spine point 1) post, in accordance with Agenda for Change NHS Terms and Conditions (AfC) pay scales - Annual

University payment

An additional direct payment to the applicant's university of £5,000 will be made to take account of its contribution through continuing student supervision and intellectual support.

Further information

If you need more information please contact analytics-unit@nhsx.nhs.uk