AI & Data Coach - Apprenticeships (Levels 4-7)

Location: Remote / Hybrid / Flexible
Contract Type: Full-Time, Permanent
Salary: £45,000 - £50,000 per annum + Benefits

About the Opportunity

Our client is a leading training provider of digital and professional skills training, delivering high-quality apprenticeship programmes to learners and employers across the UK.

Due to continued growth, they are seeking an experienced and passionate AI & Data Coach to support learners undertaking Level 4-7 Data and AI apprenticeship programmes.

This is an exciting opportunity for an experienced Data Scientist, Data Analyst, AI Specialist, Business Intelligence professional or Digital Skills Coach who is passionate about developing emerging talent and helping apprentices apply technical concepts in the workplace.

The Role

As an AI & Data Coach, you will manage a caseload of apprentices, providing high-quality coaching, mentoring and developmental support throughout their apprenticeship journey to ensure successful completion and progression.

Working remotely as part of a collaborative delivery team, you will support learners through regular coaching sessions, progress reviews and EPA preparation, helping them to develop both their technical capabilities and professional behaviours.

Key Responsibilities

• Manage a caseload of apprentices across Levels 4-7.
• Deliver engaging one-to-one and group coaching sessions aligned to apprenticeship standards.
• Conduct regular progress reviews with learners and employer stakeholders.
• Support learners in developing their Knowledge, Skills and Behaviours (KSBs).
• Review and provide detailed feedback on portfolio evidence, assignments and workplace projects.
• Prepare learners for Gateway and End Point Assessment (EPA).
• Work closely with employers to ensure apprentices are applying learning effectively in the workplace.
• Maintain accurate learner records in accordance with funding and compliance requirements.
• Promote safeguarding, Prevent, equality, diversity and inclusion throughout the learner journey.

Areas of Knowledge and Coaching Support

• Data Analytics and Data Science
• Artificial Intelligence and Machine Learning
• Python Programming
• SQL and Database Technologies
• Power BI, Tableau and Data Visualisation
• Statistical Analysis and Modelling
• Business Intelligence
• Exploratory Data Analysis (EDA)
• Predictive Analytics
• Machine Learning Algorithms
• Natural Language Processing (NLP)
• Deep Learning Fundamentals
• Ethical and Responsible AI
• Prompt Engineering and Generative AI
• Data Governance, Security and Privacy
• Cloud-based Data and Analytics Solutions
• Data Storytelling and Business Problem Solving

Essential Requirements

• Significant commercial experience within Data Analytics, Data Science, Artificial Intelligence, Business Intelligence or a related discipline.
• Strong practical experience with technologies such as:
  • Python
  • SQL
  • Power BI and/or Tableau
  • Excel
  • Machine Learning frameworks and tools
• Experience coaching, mentoring, training or developing adults.
• Excellent communication and stakeholder engagement skills.
• Ability to explain complex technical concepts in a clear, engaging and practical manner.
• Strong organisational and time management skills.
• Ability to manage a learner caseload effectively and work autonomously.

Desirable Requirements

• Previous experience delivering or coaching apprenticeship programmes.
• Experience supporting learners on Level 4-7 apprenticeship standards.
• Knowledge of apprenticeship funding and compliance requirements.
• Experience supporting learners through Gateway and End Point Assessment (EPA).
• A recognised teaching, coaching or training qualification (AET, PTLLS, PGCE, etc.).
• Assessor qualification (CAVA, TAQA, A1 or equivalent).
• Industry certifications in Data, AI or Cloud technologies (Microsoft, AWS, Google, Databricks, etc.).

What We Offer

• Full training for new coaches and support to achieve teaching qualification
• CPD to support your occupational expertise and continuous professional development
• 25 days annual leave (rising with service)
• Additional day leave for your birthday
• Holiday purchase scheme
• Flexible working & flexi time options
• Early finish for the end of your week
• Health cash plan
• Virtual GP
• Curated wellbeing package
• Enhanced sickness pay
• Company match pension up to 5%
• Life assurance
• Enhanced family benefits package
• Religious bank holiday swap
• Long service recognition and reward
• Quarterly reward and recognition awards

If you are passionate about Artificial Intelligence, Data Science and developing people, we would love to hear from you.

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