Data Science Internship

Website National Audit Office

Job description:

Data Science Internship
Contract: 1-year fixed-term

Salary:
£25, in London and £22, in Newcastle

Job Description:
We welcome applications to participate in our year-long Data Science Internship Scheme. We have a vacancy available for immediate start.As part of the scheme, you’ll benefit from dedicated training to develop skills using R, SQL and Python mixed with the opportunity to put those skills into practice.

For example, you will spend your time:

  • applying your quantitative and qualitative skills to large messy datasets to derive new insights;
  • building and implementing data tools to support our range of assurance work. For example, take a look at the data visualisations presented on our website, such as Early Education and Childcare Entitlements or Managing Flood Risk;
  • collaborating with our financial auditors to review high value, high risk quantitative models which underpin accounting estimates. For example, the value of the student loans book, the rate of fraud and error in tax credit and benefit payments, and the money needed in the future to compensate people who have experienced clinical negligence.

Nationality Requirement:

  • UK Nationals
  • Nationals of Commonwealth countries who have the right to work in the UK
  • Nationals from the EU, EEA or Switzerland with (or eligible for) status under the European Union Settlement Scheme (EUSS)

If you are interested in this vacancy, please submit your CV on our careers website.
The deadline for applications is 23:59pm on Sunday 17 September .For more information please click on the link to access our Data Science leaflet – Responsibilities You’ll benefit from dedicated training to develop skills using R, SQL and Python mixed with the opportunity to put those skills into practice.

For example, you will spend your time:

  • applying your quantitative and qualitative skills to large messy datasets to derive new insights;
  • building and implementing data tools to support our range of assurance work. For example, take a look at the data visualisations presented on our website ( such as Early Education ( and Childcare Entitlements ( or Managing Flood Risk;
  • collaborating with our financial auditors to review high value, high risk quantitative models which underpin accounting estimates. For example, the value of the student loans book, the rate of fraud and error in tax credit and benefit payments, and the money needed in the future to compensate people who have experienced clinical negligence.

Skills required No previous experience of audit is necessary, and training will be provided in key Data Science skills such as R. An interest in learning programming skills is required; previous programming experience is desirable but not essential.

Educational requirements We do have some minimum criteria which you will need to meet:

  • UCAS points from the tariff from your top 3 A Level grades (or equivalent). General Studies does not count. If you have UCAS points from the tariff (or equivalent) you may still be eligible to apply – please email for further details.

Took an undergraduate degree course with a substantive quantitative component such as data science, operational research, mathematics, statistics, physics, engineering, management science, economics (the data science internship is unlikely to be suitable for people studying accounting finance degree courses), where:

o You are in your second year of a sandwich degree course
o You are in your final year and are expecting a 2.1 degree or better, or
o You have completed your undergraduate degree course and achieved a 2.1 degree or better

If you satisfy all the criteria, kindly click the “Apply” button and submit your resume.

You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Contact us

National Audit Office

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