Digital & AI Support Apprentice
MORGAN HUNT UK LIMITED
London (EC2A 2AW)
Closes in 27 days (Thursday 27 November 2025)
Posted on 30 October 2025
Contents
Summary
This is an excellent opportunity for someone looking to begin their career in IT through a structured apprenticeship programme. The successful candidate will provide technical support to internal users, developing their skills across service desk operations, Salesforce administration, and Microsoft 365 environments.
- Wage
-
£18,000 a year
- Training course
- Data technician (level 3)
- Hours
-
All details will be confirmed at interview.
40 hours a week
- Start date
-
Thursday 4 December 2025
- Duration
-
1 year 4 months
- Positions available
-
1
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
- Provide IT support via phone, email, in person and ticketing system
- Troubleshoot issues relating to Windows, Microsoft 365, and Salesforce
- Manage user accounts, passwords, and permissions
- Support onboarding and offboarding processes, including user setup and equipment provisioning
- Log and monitor incidents through JIRA Service Desk
- Maintain accurate documentation and knowledge base articles.
- Assist with system improvements and digital transformation projects
- Support cloud platforms, Zoom telephony, and SaaS applications.
- Deliver high-quality customer service to all users
Where you'll work
12 Appold Street
London
EC2A 2AW
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
QA LIMITED
Training course
Data technician (level 3)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
- Select and migrate data from already identified sources.
- Format and save datasets.
- Summarise, analyse and explain gathered data.
- Combine data sets from multiple sources and present in format appropriate to the task.
- Use tools and/or apply basic statistical methods to identify trends and patterns in data.
- Identify faults and cleanse data to improve data quality, for example identifying gaps, duplicate entries, outliers and unusual variances, including cross-checking across data elements or between data sources.
- Audit data results for maintenance of data quality, reviewing a data set once all sources are combined, to ensure accuracy, completeness, consistency and traceability from original data.
- Demonstrate the different ways of communicating meaning from data in line with audience requirements.
- Produce clear and consistent documentation of the data provided to others and of actions completed. Where appropriate or mandated by the working context, this documentation should use standard organisational templates.
- Store, manage and distribute data in compliance with organisational, national, sector specific standards and or legislation.
- Considers sustainability and ways to reduce impact. For example, using cloud storage, sharing links to files, avoid storing multiple versions of files, and reducing the use of physical handouts of documentation.
- Parse data against standard formats, and test and assess confidence in the data and its integrity.
- Operate collaboratively in a working context that accounts for, and takes advantage of, the roles, skills and activities of others, especially those interacting with the same data sets or working towards a common goal.
- Prioritise own activities within the context of the duties to be performed, taking account of any known or expected impact on others.
- Follows equity, diversity and inclusion policies in the organisation for a common goal.
- Demonstrate the ability to use different tools and methods to formulate and utilise effective prompts to research, apply, and evaluate data transformation techniques.
Training schedule
Why choose AI & Digital Support?
This programme brings together AI, Microsoft Copilot and broader digital skills to provide support and advice to users across a wide range of business software and Generative AI applications, enhancing digital transformation and increasing AI literacy across your organisation.
- Accelerate AI adoption
- Streamline productivity
- Champion innovation
The AI & Digital Support programme integrates live and online workshops with self-paced learning, employing a guided discovery approach for individual learner contexts.
Learners are assigned a Digital Learning Consultant (DLC) for personalised coaching and support. These specialists ensure their successful progress, wellbeing, and readiness for assessments.
Apprentices will learn to use a variety of tools and technologies, including:
- Microsoft 365
- Microsoft Copilot
- SaaS (Software as a Service) applications.
Requirements
Essential qualifications
GCSE in:
- 3 GCSEs (or equivalent) (grade 4+ (A-C) in any subject)
- Maths and English (grade 3+ (D or above))
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Analytical skills
About this employer
Morgan Hunt is a multi-award-winning recruitment agency with over 150 consultants across London, Birmingham, Manchester and Glasgow. We provide specialist recruitment services to over 2,000 clients. Founded in 1994, we’ve become renowned for connecting talented candidates and brilliant organisations within the charity, education, finance, government, housing, professional services, property & construction, social care & health and technology sectors. We’re small enough to care but big enough to make an impact. Our success is our people. We pride ourselves on our commitment to our most important assets – our people – through recognition and rewards. We take care of them so that they can take care of you.
Company benefits
Competitive apprentice salary. Comprehensive training and development programme. Mentorship from experienced IT professionals. Exposure to enterprise level systems and technologies. Cycle to work. Season Ticket Loan.
After this apprenticeship
90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.
Ask a question
The contact for this apprenticeship is:
QA LIMITED
The reference code for this apprenticeship is VAC1000348964.
Apply now
Closes in 27 days (Thursday 27 November 2025)
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