Data Apprentice

Lloyds Banking Group

Leeds (LS1 4AP)

Closes on Tuesday 11 November 2025

Posted on 8 October 2025

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Summary

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.

Wage

£26,500 a year

Check minimum wage rates (opens in new tab)

Training course
Data analyst (level 4)
Hours
Monday - Friday, shifts to be confirmed.

35 hours a week

Start date

Tuesday 1 September 2026

Duration

5 years

Positions available

4

Work

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

  • SQL and advanced data joins (yes, the fun kind) 
    Predictive modelling & forecasting (basically, time travel with stats) 
  • Data visualisation & storytelling (making numbers talk) 
  • Analytics lifecycles & data democratisation 
  • Statistical programming languages 
  • Building data products people actually use 

Where you'll work

Leeds
LS1 4AP

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

BPP PROFESSIONAL EDUCATION LIMITED

Training course

Data analyst (level 4)

Understanding apprenticeship levels (opens in new tab)

What you'll learn

Course contents
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome
  • Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
  • implement the stages of the data analysis lifecycle
  • apply principles of data classification within data analysis activity
  • analyse data sets taking account of different data structures and database designs
  • assess the impact on user experience and domain context on data analysis activity
  • identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
  • undertake customer requirements analysis and implement findings in data analytics planning and outputs
  • identify data sources and the risks and challenges to combination within data analysis activity
  • apply organizational architecture requirements to data analysis activities
  • apply statistical methodologies to data analysis tasks
  • apply predictive analytics in the collation and use of data
  • collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
  • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
  • collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
  • select and apply the most appropriate data tools to achieve the optimum outcome

Training schedule

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

  • English (grade 4-9)
  • Maths (grade 4-9)

A Level in:

  • Any (grade B)
  • Any (grade C)
  • Any (grade C)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Communication skills
  • IT skills
  • Attention to detail
  • Organisation skills
  • Analytical skills
  • Team working

About this employer

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

http://www.lloydsbankinggrouptalent.com (opens in new tab)

Company benefits

Benefits include: a generous pension contribution of up to 15%; an annual bonus award, subject to Group performance; share schemes; benefits you can adapt to your lifestyle, such as discounted shopping; 22 days’ holiday, with bank holidays on top.

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

You’ll master: 

  • SQL, Python and other stats superpowers 
  • Visualisation that makes people go “ohhh, now I get it” 
  • Forecasting and modelling 
  • AI literacy and applied analytics 
  • Turning complexity into clarity

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

The reference code for this apprenticeship is VAC1000345543.

Apply now

Closes on Tuesday 11 November 2025

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