Who Is the Programme For?

This apprenticeship is tailored for professionals currently employed in data or technology roles who aspire to advance their skills in AI and data science. Ideal candidates are those eager to tackle complex business challenges, work with large datasets, and drive innovation within their organisations through data-driven AI solutions.

Programme Overview

  • Duration: 13 months (subject to individual progress)
  • Apprenticeship Standard: AI Data Specialist Standard
  • Location: Fully virtual classrooms

Key Responsibilities as an Apprentice

As an AI Data Specialist apprentice, you will:

  • Apply AI Models: Develop and implement AI models to optimise and automate business processes.
  • Innovate Solutions: Create solutions that support and enhance human decision-making.
  • Manage Complex Data: Handle large, complex, or fast-moving datasets beyond traditional methods.
  • Champion AI Adoption: Promote the use of cutting-edge AI tools and technologies within your organisation.
  • Ensure Ethical Compliance: Adhere to ethical best practices and data governance frameworks.
  • Collaborate Across Teams: Work with technology leaders and diverse business teams to implement AI solutions.

Certification

Upon successful completion, you will receive a Level 7 AI Data Specialist Apprenticeship Certificate, recognised across industries as a mark of advanced expertise in AI, machine learning, and data science.

How does the funding work?

Apprenticeships are funded through a levy scheme operated by HMRC which deducts 0.5% of annual payroll above £3 million. Employers can access this fund when they employ an approved Apprenticeship provider such as Cherith Simmons to deliver the programme.

Cherith Simmons can directly access the funding to pay for the apprentices’ training. Other schemes provide 95% funding for smaller organisations, which Cherith Simmons can access on your behalf.

Funding is currently worth £18,000 per apprentice making the training effectively free except for the accreditation fee.

Please enable JavaScript in your browser to complete this form.
Name