AI & Business Operations Apprentice

INTEGRATED FIRE SAFETY SYSTEMS LTD

London (EC4R 2SU)

Closes in 24 days (Monday 18 May 2026)

Posted on 24 April 2026

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Summary

This role is a hybrid of executive support and digital transformation. You will be responsible for deploying AI tools to manage complex technical correspondence and identify high-margin business opportunities. 

Wage

£19,000 a year

Check minimum wage rates (opens in new tab)

£19,000 - £22,000 per annum

Training course
Data technician (level 3)
Hours
8am - 5pm, Monday to Friday.

40 hours a week

Start date

Monday 25 May 2026

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

AI-Driven communication management:

  • Inbox architecture: Use AI to filter, tag, and organise the MD's emails, ensuring that technical queries regarding gas suppression or water mist systems are prioritised
  • Intelligent drafting: Draft responses that reflect the MD’s professional tone, ensuring all technical references (such as the relevant British Standards and contract law) are accurate and contextually appropriate
  • Workflow distribution: Efficiently route enquiries to the correct internal teams, ensuring no "aged" enquiries or debtor communications are missed

Strategic business growth:

  • Market mining: Utilise AI prospecting tools to identify new clients within the UK construction and FM sectors who require specialist fire protection
  • Profitability targeting: Focus outreach efforts on our most profitable product lines, specifically driving new business for fire sprinkler and gas suppression systems
  • Database enrichment: Maintain and grow the CRM service base, ensuring we are capturing the full lifecycle value of every contractor and contact in our network utilising the in-built AI functionality

Compliance & efficiency:

  • Regulatory monitoring: Assist in tracking changes to UK legislation and JCT contract law to ensure outgoing communications remain compliant
  • Process automation: Identify repetitive administrative tasks that can be automated using AI to free up the MD’s time for high-level decision-making

Where you'll work

14-16 Dowgate Hill
London
EC4R 2SU

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

  • IT skills
  • Organisation skills
  • Analytical skills

About this employer

Integrated Fire Safety Systems Ltd is a UK-based fire protection contractor that specialises in the design, installation, commissioning, and maintenance of integrated fire safety systems.

Company benefits

  • Unlimited access to Smart Health
  • ECIS Bupa scheme
  • Life insurance as an employee benefit at no cost to you

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 VAC2000028185.

Apply now

Closes in 24 days (Monday 18 May 2026)

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