Applied Data and AI Apprentice - Bristol
Lloyds Banking Group
Bristol (BS1 5LF)
Closes on Tuesday 15 December 2026
Posted on 5 November 2026
Contents
Summary
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.
- Wage
-
£27,400 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday - Friday. Shifts to be confirmed.
35 hours a week
- Start date
-
Wednesday 1 September 2027
- Duration
-
1 year 6 months
- 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
- Spot patterns that stop fraud before it happens
- Help millions of customers make smarter money choices
- Build dashboards that leaders can’t live without
- Make data accessible, ethical and useful for everyone
Where you'll work
Bristol
BS1 5LF
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
Requirements
Essential qualifications
GCSE in:
- English (grade 4 - 9)
- Maths (grade 4 - 9)
A Level in:
- Any subject (grade C)
- Any subject (grade C)
- Any subject (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
- Problem solving skills
- Team working
- Initiative
About this employer
At Lloyds Banking Group, Finance is less about adding things up and more about making things happen. Big things.
http://www.lloydsbankinggrouptalent.com (opens in new tab)
Company benefits
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 22 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
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
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
- 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 VAC2000062853.
Apply now
Closes on Tuesday 15 December 2026
After signing in, you’ll apply for this apprenticeship on the company's website.