Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Apprenticeship Coach

QA
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist I - QuantumBlack, AI by McKinsey

Data Scientist I - QuantumBlack, AI

Data Scientist I - QuantumBlack, AI by McKinsey

Data Scientist II - QuantumBlack, AI by McKinsey

Data Scientist II – QuantumBlack, AI by McKinsey

Data Scientist I - QuantumBlack, AI by McKinsey

Role: Data Apprenticeship Coach

Location: Remote (home-based)
Contract: Full time, 37.5 hrs per week
Package: competitive base salary plus benefits

Job purpose:


You will join QA as a Digital Learning Consultant; your focus will be to provide learners with feedback and support on Data Support concepts by coaching and mentoring the learners working towards the successful and timely achievement of their apprenticeship programme.

About you:


You will have industry experience working in a data analysis role, worked with large sets of data using visualisation tools; PowerBi and Tableau, be proficient in statistical programming languages such as Python or R and competent in SQL and other databases. If you have an understanding of the developments in data analysis including data science concepts and have the ability to mentor and coach learners through their apprenticeship, then this could be the role for you.


A ‘day in the life’ of a Digital Learning Consultant:

Coach and support a caseload of learners. Collaborate with Learning Specialists and Quality Assurance Consultants to ensure learners successfully achieve their apprenticeship programme on time. Provide clear and detailed written feedback on learning activities and goal completion. Support learners online across a variety of modules specifically helping them apply their skills to their current job roles.

A little about QA:

We believe the answer to closing the digital skills gap lies with the people organisations already have and the talent we can bring for the future. We’re experts in reskilling, upskilling, apprenticeships, and other talent needs for leading enterprises and public sector organisations in the UK and we’re proud to work with some of the world's biggest brands including the BBC, AWS, Google, Deloitte, JP Morgan as well as small organisations to give them the competitive edge in the digital world of today. Our bespoke and customisable training methods, learning programmes and talent acquisition solutions cover all digital requirements including emerging and in-demand tech skills to transform the workforce and fuel the success of businesses.


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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.