Description

Diageo Graduate apprentices have the best of all worlds. Our hands-on, fast-learning programme is perfect for people who are curious and have a willingness to learn.  During our Data Science Graduate Apprenticeship you will gain a BSc Hons Data Science coupled to industry experience throughout that will set you up for a career to be proud of.

How does the programme work?

Throughout the four years of study, you will have the opportunity to work in, and learn about the key aspects of both Plan and Logistics.  You will rotate across different roles to ensure real depth of understanding of our supply chain operations and the data and analytics we produce.

From a Planning and Scheduling perspective you will join our Scotch category team and will spend time in different areas learning about each key role within Supply Planning, understanding how using data in a sophisticated way can help us to build a more effective business now and in the future.

Spending time in the logistics functions will enable an understanding of how we move products from sites here in Scotland to locations around the world.  Working with our systems to truly understand critical data that helps us to do this with ease and mitigate issues that may lie ahead.

In all rotations you’ll be involved in collecting, managing, analysing, and visualising data to solve various business challenges.

Who are we looking for?

Academically we need you to be able to meet the following University entry requirements:

SQA Higher: BBBB which must include Maths, plus Nat 5 English at C.

The University accept selected Foundation Apprenticeships, in combination with SQA Highers, for entry to our degree programmes. Your Foundation Apprenticeship will take the place of one SQA Higher qualification for our standard entry requirements and will be treated as equivalent to a B grade at Higher.

Non-Standard entry for applicants with prior work experience and professional qualifications:

There is a possibility to be considered through the university’s flexible entry system through Recognition of Prior Learning (RPL).   This process allows prospective Graduate Apprentices to claim credit(s) against previously assessed and certificated learning, including informal learning, to be considered and recognised for academic purposes and credit within their programme for example Modern Apprenticeships, HNC and HND certifications.