Level 7 Data & Ai Coach

London
10 months ago
Applications closed

Related Jobs

View all jobs

Recruitment Consultant

Insight & Reporting Director

Data Quality and Governance Manager

Senior Forensic Data Analytics Manager

Finance Assistant

Shift Engineer

THIS IS A REMOTE ROLE, ACCEPTING APLICANTS 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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Robotics Employers to Watch in 2026: UK and Global Companies Transforming Automation Careers

Robotics is moving rapidly from factory floors into healthcare, logistics, agriculture, autonomous systems, and consumer products. As automation becomes embedded in everyday life, companies are investing in robots that operate alongside humans, analyse environments in real time, and learn from data. In 2026, demand for robotics engineers, software developers, system integrators, and AI specialists continues to surge. For professionals exploring opportunities on www.RoboticsJobs.co.uk , understanding the employers that are scaling, winning contracts, securing investment, or expanding into the UK market is crucial. This article highlights top robotics employers to watch in 2026, spanning innovative startups, high‑growth scale‑ups, and established global technology leaders with strong UK presence.

Careers

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

Jobs

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.