Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Guide apprentices in data science and AI through their learning journey.
- Company: Join a forward-thinking agency dedicated to shaping digital leaders.
- Benefits: Enjoy remote work flexibility and the chance to impact future tech talent.
- Why this job: Be part of a dynamic team influencing the next generation in a booming field.
- Qualifications: Experience in coaching, strong data skills, and excellent communication are essential.
- Other info: This role is fully remote and open to applicants nationwide.
The predicted salary is between 36000 - 60000 £ per year.
THIS IS A REMOTE ROLE, ACCEPTING APPLICANTS NATIONWIDE.
We are seeking a passionate and knowledgeable Level 7 Data and AI Coach to support learners enrolled on advanced technical and leadership programmes. This role focuses on data science, machine learning, artificial intelligence, and analytics.
You will play a key part in shaping the next generation of digital leaders by guiding apprentices through their learning journey, ensuring they develop the technical and strategic skills needed in today’s data-driven landscape.
Key Responsibilities
- Deliver high-quality 1:1 coaching, support, and guidance to Level 7 Data and AI apprentices.
- Facilitate engaging and effective learning experiences focused on advanced data and AI concepts.
- Support learners in applying theoretical knowledge to real-world business and workplace scenarios.
- Conduct regular progress reviews and maintain accurate, compliant learner records.
- Prepare learners for successful End Point Assessment (EPA).
- Provide clear, developmental feedback that promotes learner achievement.
- Collaborate with internal teams to ensure delivery aligns with learning objectives and quality standards.
- Stay current with trends in data science, AI, and adult learning methodologies.
Skills & Experience Required
- Experience coaching or mentoring at Level 5 or above, ideally within apprenticeships or adult education.
- Strong technical background in data analytics, machine learning, statistics, and AI tools.
- Professional experience in data or AI-related roles (e.g., Data Scientist, Data Analyst, AI Engineer).
- Proficient with tools and languages such as Python, R, SQL, Azure, AWS, Power BI.
- Understanding of apprenticeship delivery and compliance requirements (Level 7 preferred).
- Excellent communication and interpersonal skills.
- Ability to adapt coaching style to meet varied learner needs.
- Strong organisational skills and digital literacy.
Desirable Qualifications
- Assessor qualification (e.g., CAVA, TAQA).
- Coaching or mentoring qualifications.
- Relevant degree or industry-recognised certifications in data science, computer science, or related fields.
- Teaching qualification (e.g., PTLLS, DTLLS, PGCE).
Paul Feldman is the National Skills Agency Data Protection Officer. Your data will be stored until notice is given by you for it to be removed. Our Data Protection Policy will be forwarded to you on request. As we get a high number of applications we may be unable to give feedback to unsuccessful candidates. We will retain your details to keep you informed of other opportunities. National Skills Agency Ltd is acting as an Employment Agency in relation to this vacancy and is an Equal Opportunities employer; we welcome applicants from all backgrounds.
Level 7 Data & Ai Coach employer: National Skills Agency
Contact Detail:
National Skills Agency Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Level 7 Data & Ai Coach
✨Tip Number 1
Familiarise yourself with the latest trends in data science and AI. This will not only help you in interviews but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the data and AI sectors. Engaging with others in the industry can provide insights into the role and may even lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your coaching or mentoring experiences in detail. Be ready to share specific examples of how you've supported learners in the past, as this will highlight your suitability for the Level 7 coaching role.
✨Tip Number 4
Showcase your technical skills by being prepared to discuss the tools and languages mentioned in the job description. Having practical examples of how you've used Python, R, SQL, or other relevant technologies will set you apart from other candidates.
We think you need these skills to ace Level 7 Data & Ai Coach
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in coaching or mentoring, particularly at Level 5 or above. Emphasise your technical skills in data analytics, machine learning, and AI tools, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and AI. Discuss how your background aligns with the responsibilities of the role, such as delivering high-quality coaching and facilitating engaging learning experiences.
Showcase Relevant Qualifications: If you have any assessor or coaching qualifications, be sure to mention them. Highlight any relevant degrees or certifications in data science or related fields, as these will strengthen your application.
Demonstrate Communication Skills: Since excellent communication is key for this role, consider including examples in your application that showcase your interpersonal skills and ability to adapt your coaching style to meet diverse learner needs.
How to prepare for a job interview at National Skills Agency
✨Showcase Your Coaching Experience
Be prepared to discuss your previous coaching or mentoring roles, especially at Level 5 or above. Highlight specific examples where you successfully guided learners through their educational journeys, focusing on how you adapted your coaching style to meet diverse needs.
✨Demonstrate Technical Proficiency
Familiarise yourself with the key tools and languages mentioned in the job description, such as Python, R, SQL, Azure, and AWS. Be ready to discuss your professional experience in data analytics and AI-related roles, providing concrete examples of projects you've worked on.
✨Engage with Current Trends
Stay updated on the latest trends in data science and AI. During the interview, mention any recent developments or methodologies you've encountered and how they could be applied to enhance the learning experience for apprentices.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to apply theoretical knowledge to real-world scenarios. Think of examples where you've facilitated effective learning experiences or provided developmental feedback, and be ready to explain your thought process.
