Data Science Internship (1-year placement) - London

Job Description

We welcome applications to participate in our year-long Data Science Internship Scheme starting from September 2025. This is an entry-level position in our Analysis Hub, aimed at supporting and developing people looking to start a career in data science.
As part of the scheme, you will 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 Waste Management or Integrated Care Systems
• 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.

Responsibilities

You’ll start out working as a team member in our Analysis Hub. In your first month you will undertake intensive training in our programming and development tools and languages. From your second month you will start to apply the skills you have learned to real life problems, helping the office produce insights into the data we receive from government departments. You will also get the opportunity to collaborate in the review of government models which produce estimates for the audited financial accounts.

You’ll benefit from dedicated training to develop skills using R, SQL and Python, mixed with the opportunity to put those skills into practice developing new applications, as well as getting your hands dirty doing analysis and reviewing models produced by government. By the time you have completed your year, you will have outstanding professional experience
in the application of data science and modelling skills.

Skills required

• No previous experience of audit is necessary, and training will be provided in key data science skills such as R and Python.
• 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:

• A minimum of 120 UCAS points (or 300 based on the pre-2017 UCAS tariff) or equivalent from your top 3 A-Levels, not including General Studies. If you have 104 UCAS points (or 260 based on pre-2017 UCAS tariff), you may still be eligible to apply.
• 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:
  • You are in your second year of a sandwich degree course
  • You are in your final year and are expecting a 2.1 degree or better, or
  • You have completed your undergraduate degree course and achieved a 2.1 degree or better

How to Apply:

If you are interested in applying, you will need to submit your CV and completed application form on our website. Please do not submit any other documents as these will not be reviewed.

All applicants will be invited to complete a numerical reasoning assessment. Following completion of the assessment, screening on your CV, and a review of your application form, we will invite you to complete a technical exercise. This will be followed by an interview.

The deadline for applications is published on our careers page.

The internship starts in September 2025.