AI Support Apprentice
RADIO.CO(UK) LTD
MANCHESTER (M4 1FS)
Closes in 13 days (Wednesday 3 September 2025)
Posted on 21 August 2025
Contents
Summary
You’ll be part of the team that supports our customers - answering questions, solving problems, and making sure people get the most out of our platform. Don’t worry if you haven’t worked in support before, we’ll train you up.
- Wage
-
£16,000 a year
Check minimum wage rates (opens in new tab)
£16,000 - £18,000 per annum
- Training course
- Data Technician (level 3)
- Hours
-
Days and shifts to be confirmed.
37 hours 30 minutes a week
- Start date
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Wednesday 10 September 2025
- Duration
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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
- Helping customers through live chat and email
- Learning how to spot and solve technical problems
- Supporting people in setting up their radio station
- Keeping things organised and updating support resources
- Working with the wider team to improve how we do things
As you grow in confidence, you’ll take on more responsibility, including calls, feedback sessions, and helping shape how we support our users.
Where you'll work
BASIL CHAMBERS
65 HIGH STREET
MANCHESTER
M4 1FS
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 of any subject (grade 4+ (A* - C))
- Maths & 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
About this employer
Radio.co is a platform that helps thousands of broadcasters around the world run their own internet radio stations, from bedroom DJs to national broadcasters. We launched in 2015 and are now proud to support over 4,000 stations globally. We're a friendly, supportive team based in Manchester, and we’re looking for a curious, motivated apprentice to join us in our Customer Support team.
Company benefits
• Full training and mentoring • 28 days’ holiday • The chance to build real experience with a global tech platform • A hybrid working setup, with in-person time at our Manchester office at least once per month
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 VAC1000338371.
Apply now
Closes in 13 days (Wednesday 3 September 2025)
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After signing in, you’ll apply for this apprenticeship on the company's website.