AI, Data and Conversion Apprentice

RH BRAND AMBITION LIMITED

Location: Leeds (LS1 4BN)
Closing Date: Wednesday 14 October 2026
Posted on: 2 October 2026

Wage: £28,000 a year

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.

Training

Training Course: Artificial intelligence (AI) and automation practitioner (level 4)

Training Provider: THE CODERS GUILD LTD

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.
• 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.
• 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.
• Make evidence-based suggestions to support governance, outcomes and facilitate improvement.
• Report on productivity and efficiency savings and the opportunities for automation.
• Contribute to sustainable and efficient AI and automation solutions.
• Support with the delivery of training to technical and non-technical user groups or audiences.
• 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.