Data & AI Apprentice: Learn, Build Data Products

Lloyds Bank; Bristol; Hybrid; GBP 22,000 - 27,000; Full time

Job summary

A prominent UK financial institution in Bristol is offering a Data Apprentice position aimed at individuals eager to build a strong foundation in data analytics over a 4.5-year apprenticeship. Successful candidates will learn SQL, Python, and data visualization while working on real-world projects. This role not only provides hands-on experience but fully funds your qualifications, culminating in a nationally recognized apprenticeship. With a supportive environment and flexible working policies, this opportunity is a gateway to a rewarding career in data.

Benefits

Generous pension contribution up to 15%

Annual performance-related bonus

Share schemes including free shares

Adaptable shopping discounts

22 days holiday plus bank holidays

Wellbeing initiatives and parental leave policies

Qualifications

• You need to be at least 18 years old on 1st September 2026.
• GCSE at grades 4-9 in Maths and English – Obtained.
• 3 A Levels at grades BCC – These grades can be predicted but must be achieved.

Responsibilities

• Learn how to tame big messy datasets and turn them into insights.
• Work on real projects with classroom theory.
• Spot patterns that stop fraud before it happens.

Skills

SQL

Python

Statistical programming

Data visualisation

Forecasting

AI literacy

Education

GCSE at grades 4-9 in Maths and English

3 A Levels at grades BCC

Job description

A prominent UK financial institution in Bristol is offering a Data Apprentice position aimed at individuals eager to build a strong foundation in data analytics over a 4.5-year apprenticeship. Successful candidates will learn SQL, Python, and data visualization while working on real-world projects. This role not only provides hands-on experience but fully funds your qualifications, culminating in a nationally recognized apprenticeship. With a supportive environment and flexible working policies, this opportunity is a gateway to a rewarding career in data.