AI Digital Growth Apprentice

PROJECTING SUCCESS LTD

Recruiting nationally

Closes in 20 days (Wednesday 30 September 2026 at 11:59pm)

Posted on 10 September 2026

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Contents

Summary

An AI-first development role for someone who is genuinely passionate about emerging technology and wants to apply it to real business challenges.

You will work within Sales & Marketing while also helping Projecting Success identify practical opportunities to use AI and automation to work smarter and grow.

Wage

£22,000 a year

Minimum wage rates (opens in new tab)

Formal review after 12 months

Training course
Artificial intelligence (AI) and automation practitioner (level 4)
Hours
Our standard working week is Monday to Friday, 9am to 5.30pm

40 hours a week

Start date

Thursday 29 October 2026

Duration

1 year 3 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 & Automation:

  • Develop a strong understanding of AI, automation and emerging digital technologies and how they can be applied within Projecting Success
  • Act as an advocate for the effective, responsible and practical use of AI across the organisation
  • Work with colleagues to identify processes and repetitive tasks that could be improved or streamlined through AI and automation
  • Research, test and help implement AI and automation tools, integrations and workflows with appropriate oversight
  • Use AI to improve research, content creation, campaign planning, customer engagement and internal efficiency
  • Support the documentation, testing and evaluation of new AI and automation solutions, including the benefits and risks
  • Share useful learning, examples and emerging developments with colleagues
  • Use AI and data in accordance with organisational policies, data protection requirements and agreed governance

Marketing & Content:

  • Create and adapt engaging content for employers, learners and wider audiences
  • Develop content for social media, email campaigns, websites, newsletters and other digital channels
  • Use AI appropriately to support content ideation, drafting, repurposing, editing and optimisation
  • Schedule and publish content across agreed social media platforms and support the development of new channels where appropriate
  • Support campaign planning, content calendars, website updates, landing pages and lead-generation activity
  • Repurpose existing material into different formats to maximise reach and value
  • Monitor digital engagement and use data to understand what is working and where activity can be improved

Sales, CRM & Growth:

  • Support lead-generation activity and prospect engagement across the Sales & Marketing team
  • Use AI tools to support market research, prospect research, audience segmentation and campaign personalisation
  • Maintain accurate and useful information within HubSpot
  • Use HubSpot to build and improve workflows, campaigns, customer journeys and automated tasks
  • Support email marketing activity, including lists, workflows, campaigns and reporting
  • Help improve CRM data quality and reduce unnecessary manual administration
  • Support the team in monitoring enquiries, leads, campaign performance and conversion
  • Identify opportunities where AI and automation could improve the experience of prospective employers and learners

Organisational AI Development:

  • Bring forward ideas for how AI and automation could improve the way the organisation works
  • Challenge existing ways of working constructively where technology could provide a better solution
  • Experiment with new approaches in a controlled, responsible and evidence-led way
  • Work with different teams to understand their processes and business challenges
  • Help colleagues build confidence in using AI appropriately
  • Contribute to the development of the organisation’s wider AI and automation approach
  • Help demonstrate measurable improvements in productivity, quality, customer experience or commercial performance from AI and automation activity

Where you'll work

Projecting Success are a remote based organisation so this role will be home based with occasional travel requirements in support of our hackathon events - these are communicated well in advance and accommodation/travel are provided if needed.

Training

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

PROJECTING SUCCESS 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

Artificial Intelligence (AI) and Automation Practitioner Level 4.

Training will take place at work, via a combination of live sessions taught by our team of subject matter experts, self-study & guided exercises and working closely with your allocated Tutor who will support you through the apprenticeship journey.

More training information

Projecting Success was established in 2014 to provide specialist data in project management apprenticeships and transform the world of project delivery.

Working with government departments, the wider civil service as well as companies large and small across multiple sectors, Projecting Success has supported many people on their apprentice journey.

We understand the importance of high-quality learning and ensure our tutors are amongst the best the industry has to offer.

The course offerings are carefully selected to provide the apprentice, line manager and the wider organisation with the knowledge to evolve into a forward thinking, more efficient operation.

Requirements

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
  • Creative
  • Initiative
  • Passion for AI & automation
  • Interest in sales/marketing

Other requirements

  • Meet the eligibility requirements for a funded apprenticeship in England
  • Passing right to work checks including a Disclosure and Barring Service (DBS) check

About this employer

Projecting Success was established in 2014 to provide specialist data in project management apprenticeships and transform the world of project delivery.

Working with government departments, the wider civil service as well as companies large and small across multiple sectors, Projecting Success has supported many people on their apprentice journey. We understand the importance of high-quality learning and ensure our tutors are amongst the best the industry has to offer. The course offerings are carefully selected to provide the apprentice, line manager and the wider organisation with the knowledge to evolve into a forward thinking, more efficient operation.

Projecting Success works with clients to ensure the space and opportunity is created to allow our learners to utilise their learning to the full and optimise their benefit to the wider organisation. Only through the effective embedding of new knowledge will businesses realise the true return on investment offered through our apprenticeships. We have seen this work in practice where learners have returned to their workplaces and quickly introduced new workflows and working practices.

By introducing new methodology, our apprentices have expedited project delivery times and saved thousands of man hours which have been refocused on other important tasks. Talk to us to see how we can support your businesses’ evolution.

https://projectingsuccess.co.uk/ (opens in new tab)

Company benefits

  • 34 annual leave days, inclusive of English bank holidays and Christmas shutdown
  • Additional day of leave for each full year employed at Projecting Success (up to maximum of 40 days)
  • 2 volunteering days per year
  • Bonus scheme
  • Referral bonus
  • Ongoing training and development
  • Access to retail discount websites
  • Free railcard
  • Free eye tests
  • Flexible hours
  • Matched pension contribution

After this apprenticeship

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

We're a growing business in a rapidly developing sector - roles change and are introduced on a regular basis so development opportunities are not restricted to a particular pathway.

Monthly 121 meetings with you line manager, and an annual appraisal, will help steer your development through identifying strengths and areas for development.

Ask a question

The contact for this apprenticeship is:

PROJECTING SUCCESS LTD

The reference code for this apprenticeship is VAC2000052692.

Apply now

Closes in 20 days (Wednesday 30 September 2026 at 11:59pm)