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

Apply Now

Data Apprenticeship Instructor

Decoded Limited
London
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Lecturer in Data Science

Data Scientist - Life Sciences

Data Scientist - Life Sciences

Lead Data Engineer - MLOps

Lead Data Engineer - MLOps

Data Scientist / R - Manchester Based

ABOUT DECODED

We are Decoded, the pioneers of transformative technology education. We democratise cutting-edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work.

Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical, and creative application of technology to lay the foundations for a more productive and promising world – one with unlimited possibilities.

OVERVIEW

We are looking for a Data Apprenticeship Instructor to work full time to deliver our best-in-class Data Analytics and Business Analytics workshops to apprenticeship learners on our Level 4 Data Analyst programme and our Level 3 Data Technician programme.

This role is dedicated to the delivery of workshops, delivered between 09:00 - 17:00 GMT. The majority of workshops will be 3.5 or 4.5 hours long (including set-up and wrap-up time) with 8 hour hackathon workshops delivered less frequently throughout the programmes. Infrequently you may be asked to work outside core UK working hours due to the global nature of Decoded's client base.

ACCOUNTABILITIES

As a Data Apprenticeship Instructor at Decoded, you will be responsible for:

  • Teaching our learning content to groups of apprenticeship learners via virtual workshops
  • Honing your skills as an educator and building your knowledge of andragogy and teaching theory
  • Working with the Learner Success Coaches (LSCs) to ensure learners progress through the programme. Each Learner will have the support of an LSC to support them with practical and pastoral guidance.

SPECIFIC ROLE & RESPONSIBILITIES

Workshop preparation and knowledge of content

  • Comprehensively understand the apprenticeship curriculums and learning objectives of our programmes

  • Reviewing exercises and other learning materials before a workshop

  • Learning about your learners and the businesses they work for

  • Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge

  • Maintaining a continual learning mindset and strive to advance your knowledge in your specialist domains

Facilitation skills

  • Timekeeping

  • Classroom management

  • Atmosphere: both professional and energetic, with good energy and engagement level with learners

  • Technical issues using Zoom/Teams, Mural, Menti and other key tools

Quality of teaching

  • Achieve teaching quality scores that meet or exceed quality indicators

  • Decode and communicate complex concepts and principles with energy, focus and patience

  • Engaging and captivating the attention of a virtual room of busy professionals

  • Facilitating the learning journey for your audience, and leaving no-one behind whilst also providing stimulation for advanced learners

  • Enabling an inclusive, collaborative, and respectful learning environment


SKILLS & BEHAVIOURS

We are looking for candidates with a mindset built on:

  • Building collaborative relationships

  • Solving problems elegantly and creatively: “find a way or make a way”

  • Organisational skills - proactivity, process improvements

  • Excellent communication skills: adaptable, clear and consistent written, verbal, 1:1, group

  • A flexible, can do attitude and a willingness to learn

  • Striving for excellence in all areas

  • Exceptional attention to detail to deliver timely, quality results

  • A passion to learn and adapt

Topics covered within our programmes that require technical skills are:

  • Programming (Python)

  • Data Analysis (Python, Excel)

  • Dashboarding (PowerBI, Tableau)

  • Data Manipulation

  • Data Visualisation

  • Statistics

  • Data Storytelling

  • Data Modelling

  • Databases (SQL)

  • Data Architecture

  • Time Series Analysis

  • Machine Learning


WHAT DOES SUCCESS LOOK LIKE?

Your performance will be measured and driven by:

  • Enabling learners to apply newly learned techniques to their professional environment

  • Delivering regular high-quality learning engagements with learners

  • Coaching through the application of techniques that are new to learners

  • Striving for excellence in everything you do: you don’t accept mediocrity in yourself or the team around you

  • Solving problems elegantly and creatively: “find a way or make a way”

A successful candidate will be expected to achieve the following within 3 months:

  • Autonomous management of learning content development deadlines

  • Autonomous management of workshop delivery

  • Confidence to successfully deliver at least 80% of our Apprenticeship workshops

  • An overall Learner Feedback score +8/10

  • An overall Teacher KPI score of 75%


 WHO ARE YOU? 

You are:

  • A passionate technologist with over 2 years of experience teaching data analytics, data science, computer science, software engineering or similar in a school, university or higher level

  • In possession of an AET Level 4 qualification or higher

  • Confident coding in Python

  • An excellent and adaptable communicator, verbally and in writing

  • Self-motivated and a problem solver who takes initiative

  • Passionate about technology and learning

  • A team player who is eager to improve our programmes wherever possible and contributes to overall morale

  • Always keen to learn, improve and stretch your own knowledge, skills and behaviours

Bonus

  • Familiar or experienced with Data Science concepts and tools


TEAM REPORTING & STRUCTURE

You will report to the Portfolio Director, in the Product Department.


LEARNING & PROGRESSION

We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.



BENEFITS

Apart from the above, working at Decoded means you’ll get:

  • 33 days* leave per year (inclusive of bank holidays) and extra tenured holiday enabling team members to gain an additional day for every year you are with us (after the first 2 years) up to a maximum of 8. We also close the office for 2 full weeks at Christmas at Decoded's discretion which does not come out of your holiday allowance.

  • Flexible working, including work-from-home

  • Modern, flexible and fully serviced offices at WeWork in Spitalfields, London

  • Health care including dental, medical, and vision* and to help you prioritise your wellbeing

  • Travel insurance

  • Social events and all company gatherings

  • Continuous learning and development. You will be challenged with lots of responsibility and exciting projects in an environment that encourages learning

  • A work environment that values creativity, personal growth and collaboration

  • Free monthly lunches

  • Laptop and virtual work equipment kit provided


DAY TO DAY

This role can be delivered fully remotely within the UK, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non-workshop delivery work.

Your working hours will be 09:00 - 17:00.


Salary band 

£40,000 - £50,000


Interview process

  1. The first stage is a screening call with our People Manager.

  2. The second stage interview is with the Portfolio Director as hiring manager, and an Apprenticeship Team panel member. This interview will include a teaching exercise presentation.

  3. The final stage interview is with Decoded’s Chief Product Officer and Decoded’s CEO.


Decoded is committed to safeguarding and promoting the welfare young people and vulnerable adults and expects all staff and volunteers to share this commitment

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.

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.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.