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- Tasks: Guide apprentices in data science and AI through their learning journey with 1:1 coaching.
- Company: Join the National Skills Agency, a leader in empowering the next generation of digital talent.
- Benefits: Enjoy remote work flexibility and the chance to shape future leaders in tech.
- Why this job: Make a real impact by helping learners apply data skills in the workplace and achieve their goals.
- Qualifications: Experience in coaching or mentoring at Level 5, with a strong background in data analytics and AI.
- Other info: This role is open to applicants nationwide, promoting diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
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)
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 during 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, particularly your experience in delivering engaging learning experiences and supporting learners in applying theoretical knowledge.
Showcase Your Technical Skills: Be specific about your proficiency with tools and languages such as Python, R, SQL, Azure, and AWS. Mention any relevant projects or experiences that demonstrate your ability to apply these skills in real-world scenarios.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed related to data science, AI, or adult education methodologies. This shows your commitment to staying current with industry trends and improving your coaching abilities.
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 complex topics in data science or AI.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools and languages mentioned in the job description, such as Python, R, SQL, Azure, and AWS. Be ready to explain how you've used these technologies in real-world scenarios.
✨Engage with Real-World Applications
Think of examples where you've helped learners apply theoretical knowledge to practical situations. This will show your ability to connect concepts with real business challenges, which is crucial for this role.
✨Prepare for Questions on Learner Development
Expect questions about how you provide feedback and support learner achievement. Prepare to discuss your approach to conducting progress reviews and maintaining accurate records, as these are key responsibilities.
