AI, Data and Conversion Apprentice
RH BRAND AMBITION LIMITED
Leeds (LS1 4BN)
Closes in 12 days (Wednesday 14 October 2026)
Posted on 2 October 2026
Contents
Summary
Brand Ambition is looking for an AI, Data & Conversion Apprentice to help become a more AI-native marketing agency while supporting clients with analytics, tracking and conversion optimisation.
This is a hybrid role combining AI and operations, analytics and data, and conversion optimisation. We are not looking for an AI expert.
- Wage
-
£28,000 a year
- Training course
- Artificial intelligence (AI) and automation practitioner (level 4)
- Hours
-
To confirm with BA
36 hours a week
- Start date
-
Monday 16 November 2026
- Duration
-
1 year 1 month
- 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
You’ll work closely with our Managing Director and wider agency team to:
- Research and test AI tools against genuine agency problems
- Help build AI workflows, prompts, automations and internal systems
- Identify repetitive or inefficient processes and suggest better ways of working
- Support GA4, Google Tag Manager and wider website tracking
- Help troubleshoot tracking and data-quality issues
- Analyse website and campaign data to identify opportunities and
problems - Support dashboarding and reporting
- Review user journeys, landing pages and conversion funnels
- Support conversion optimisation testing and recommendations
- Work with SEO, Paid Media, Content and Development teams to improve client performance
A major part of the role will be helping us answer two questions:
- How can AI make Brand Ambition a better agency?
- How can better data help our clients convert more effectively?
Where you'll work
1 Whitehall Riverside
Leeds
LS1 4BN
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
THE CODERS GUILD LTD
Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Review, establish, follow and or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
- Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
- Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
- Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
- Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
- Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
- Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
- Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
- Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
- Contribute to sustainable and efficient AI and automation solutions.
- Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
- Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
- Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
- Undertake data analysis, preparation, and conversion to support automation solutions.
- Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
- Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
- Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
- Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
- Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
- Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
- Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
- Review, establish, follow and or amend policies and procedures on data and information security.
- Follow ethical, responsible and safe working practices respecting confidentiality and sensitive organisational matters.
- Undertake analysis to identify if automation is viable. Including assessing risks such as data quality, process maturity and unintended consequences of AI automation projects, such as the impact on job roles.
- Engage with non-technical staff to understand their roles, responsibilities, and concerns when automation solutions are proposed and implemented. Adapt approach to support workforce needs when implementing solutions that impacts the workforce.
- Support with the introduction, adaption, and implementation of change. Contribute to constructive dialogue between leaders and employees about the adoption of AI and automation solutions.
- Review and complete workflow and process mapping to identify problems or inefficiencies and recommend solutions including pilots, incremental changes and scaling opportunities.
- Use automation design tools to suit the organisational context to configure, adapt and implement AI or automation solutions, such as conversational agents, text processing AI, workflow automation platforms and cloud based SaaS or PaaS.
- Create and refine prompts for AI tools, using iterative testing to achieve accurate and useful outputs.
- Apply analytical and computational techniques using tools and datasets to design, evaluate, and optimise automation solutions.
- Integrate AI and automation technologies to collect, process, and manage data effectively, enabling intelligent and efficient system operation.
- Design, integrate, and test digital workflows and AI automation tools using APIs, connectors, or low-or no-code integration methods.
- Iterate solutions based on testing and feedback to ensure reliability, security, accessibility, and alignment with organisational needs.
- Identify opportunities to deliver automation. Support leaders in integrating ethical, empathetic approaches when decision-making.
- Support in the identification and evaluation of opportunities for increased productivity. For example, use of low-or no-code tools, streamlining processes and use of AI platforms.
- Make evidence based suggestions to support governance, outcomes and facilitate improvement for example cost benefit analysis.
- Report on productivity and efficiency savings and the opportunities for automation and where applicable when automation does not improve experience or processes.
- Contribute to sustainable and efficient AI and automation solutions.
- Support with the delivery of training to technical and non-technical user groups or audiences adapting content and format responding to feedback and organisational context.
- Contribute to the creation and or adaption of resources such as user guides, training materials, process documents to meet user requirements.
- Work collaboratively to deploy AI and automation strategies. Support where required to deal with the impact of automation for example retraining, redeployment, or upskilling of affected staff.
- Undertake data analysis, preparation, and conversion to support automation solutions.
- Present and communicate information including the translation of technical concepts into accessible materials to support clear dialogue with stakeholders.
- Work with others to achieve agreed outcomes or outputs. Provide evidence-based analysis and insight to leaders on the likely human impacts of automation projects.
- Use project management principles, techniques and tools to support the development of clear, balanced communications and briefings, articulating both opportunities and risks.
- Keep up to date with existing, evolving, emerging technologies and sector trends in AI, automation and technology including methods to evaluate vendor and supplier solutions.
- Apply ethical and human-centred design principles when scoping, developing, and deploying automation and AI solutions, underpinned by robust governance.
- Apply technical understanding to help align business needs with technical capabilities, supporting the development of solutions that are scalable, efficient, and aligned with the organisation’s strategic objectives.
- Undertake assurance activities to evidence responsible AI and automation, including maintaining clear documentation of design and decision-making, contributing to risk assessments, and applying assurance frameworks to support compliance with organisational, regulatory, and ethical standards.
- Apply algorithmic impact assessment and workforce equality monitoring techniques when scoping, implementing, and reviewing AI and automation projects. Gather and analyse relevant workforce data, identify potential equality risks, and contribute evidence-based recommendations to support fair and inclusive adoption.
Training schedule
Training is provided by The Coders Guild who have highly skilled trainers and coaches who will equip you with the knowledge and experience to fast track you towards being an AI & Automation Practitioner.
Training is delivered remotely but if in person training is provided, notice will be provided.
More training information
Functional skills English and maths can be provided alongside the apprenticeship, if required and agreed by the employer.
Requirements
Desirable qualifications
GCSE in:
- English Language (grade A-C/4-9)
- Maths (grade A-C/4-9)
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
- Presentation skills
- Analytical skills
- Logical
- Team working
- Creative
- Initiative
About this employer
Brand Ambition is an independent, family-run digital marketing agency in Leeds, working with ambitious SMEs. Its specialist teams cover SEO, Paid Media, Content and Development, and it is now building its use of AI, data and automation across the agency. Apprentices work on real projects with real businesses, alongside experienced marketers, and get a genuine role in shaping how the agency uses AI.
https://www.brand-ambition.com/ (opens in new tab)
Company benefits
Holiday: 22 days plus Bank Holidays, pro rata where appropriate
After this apprenticeship
Your earnings can increase over time with an apprenticeship. Find out about potential future pay (opens in new tab).
As a small team, this role offers the opportunity to own a department by the end of your apprenticeship.
Ask a question
The contact for this apprenticeship is:
THE CODERS GUILD LTD
The reference code for this apprenticeship is VAC2000054344.
Apply now
Closes in 12 days (Wednesday 14 October 2026)
After signing in, you’ll apply for this apprenticeship on the company's website.