Level 3 AI & Data Foundations Apprentice (Circularity First) REMOTE

CIRCULARITY FIRST LTD

Baker Street (KT13 8AL)

Closes in 17 days (Saturday 1 August 2026)

Posted on 14 July 2026

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Summary

Provide end-to-end administrative and customer support across the order lifecycle. This role ensures accurate order processing, clear customer communication, and efficient coordination between internal teams to deliver a seamless and traceable operational workflow while maintaining high customer satisfaction.

Wage

£17,550 a year

Minimum wage rates (opens in new tab)

Training course
Data technician (level 3)
Hours
Monday to Friday 8am to 4.30pm

40 hours a week

Start date

Monday 21 September 2026

Duration

1 year 6 months

Positions available

2

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

Order Processing & Administration:

  • Process sales orders, purchase orders, and vendor orders accurately and in a timely manner
  • Maintain ERP data accuracy (customer details, item updates, order status)
  • Validate stock availability and flag discrepancies
  • Liaise with Warehouse to ensure correct pick, pack, and dispatch activities
  • Support invoicing, dispatch notes, delivery tracking, and documentation
  • Assist with reporting on daily workflow, backlog, and completed tasks
  • Collate and manage data requirements for compliance (e.g. Climate Essentials)
  • Provide general coordination support across departments
  • Produce weekly and monthly operational reports

Customer Support:

  • Handle inbound customer queries via phone, email, marketplaces, and customer platforms
  • Provide order updates, returns guidance, and basic technical support where appropriate
  • Manage after sales issues including DOA, missing or incorrect items
  • Log and process RMAs, coordinating with Finance and Warehouse teams for resolution
  • Maintain accurate customer communication logs and service documentation
  • Escalate complex or high-risk issues to the Operations Manager
  • Support customer satisfaction tracking and service performance monitoring

Cross-Team Support & Coverage:

  • Provide daily workflow cover for Operations and Customer Teams
  • Support non-technical quote requests where required. (Long Term)
  • Facilitate communication with Cisco and other vendors where necessary
  • Ensure smooth coordination between Sales, Operations, Warehouse, and Customer Service teams

Where you'll work

Ground Floor
Egerton House
68
Baker Street
KT13 8AL

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 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

Data Technician Level 3.

BPP apprenticeship training programmes are delivered virtually by our fully qualified and industry-experienced training team. Using their expert knowledge, we’ve purposefully built our programmes around the real-world use of modern technology, so that the skills we create can be directly applied in the workplace.

Throughout the apprenticeship learners receive coaching, help and guidance from a dedicated team who are there to ensure they get the most from their work experience.

Requirements

Essential qualifications

GCSE in:

GCSEs including English Language and Maths (grade A*-C/9-4 or equivalent)

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

Skills

  • Office Packages
  • General IT literacy

About this employer

Circularity First is on a mission to transform the IT sector for a more sustainable and profitable future. As IT becomes one of the world’s fastest-growing sources of carbon emissions and e-waste, and with the rise of AI and digital transformation, we ensure technology makes progress without leaving waste behind. We bring sustainability and circular thinking into how technology is designed, deployed, used, and renewed across the IT lifecycle.

After this apprenticeship

Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).

This role offers clear progression within the business. As you develop your skills, you will have the opportunity to take on more responsibility across administration, operations and customer service, with a view to progressing into a senior or team leader role.

Over time, there is potential to support and manage a larger admin and customer service function. You will also be encouraged to continue your professional development through further relevant apprenticeships or qualifications aligned to the role.

Ask a question

The contact for this apprenticeship is:

BPP PROFESSIONAL EDUCATION LIMITED

The reference code for this apprenticeship is VAC2000042614.

Apply now

Closes in 17 days (Saturday 1 August 2026)

After signing in, you’ll apply for this apprenticeship on the company's website.