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Edinburgh, Scotland

Data Apprentice Level 4+ (Edinburgh)

Apprenticeship
Financial Services
Data/Analytics
December 10, 2025

Lloyds

UK-based retail and commercial bank
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Job description

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As a Data apprentice, you’ll learn how to tame big, messy datasets, spot patterns no one else can see, and turn them into insights that make banking smarter, safer and simpler.

Four and a half years. Two apprenticeships. Unlimited potential

This isn’t just one programme - it’s your first step to an amazing career. You’ll begin with a level 4 Applied Data and AI Specialist apprenticeship. Do well, and successfully complete this, and you’ll move on to a degree apprenticeship, deepening your skills while growing your career with us.

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Along the way, you’ll dive into:

By the end, you won’t just know data. You’ll live and breathe data.

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The impact you could make

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Your skills toolkit

You’ll master:

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Requirements  

What you’ll need to apply 

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Important information 

An additional requirement for the apprenticeship position is that you must currently possess a valid Right to Work in the UK. Your visa end date must extend beyond the duration of the apprenticeship programme, which will last up to 4.5 years.

Due to Home Office requirements regarding Skilled Workers, we’re unable to accept applications for visa sponsorship for our apprenticeship roles as the proposed salary for the role does not meet the minimum threshold – if this situation applies to you, please consider looking for other vacancies which may be more suitable. 

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Location

This apprenticeship is based in Edinburgh, and you will be expected to work from your primary office throughout the programme. While our hybrid working policy requires office attendance at least two days per week (40% for full-time colleagues), apprentices are expected to be in the office most days during the initial settling-in period.

 

If your commute exceeds 1.5 hours, we strongly recommend relocating closer to the office to ensure consistent attendance in line with contractual and hybrid working expectations.

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