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For Companies At a Glance
- Tasks: Lead the design of innovative data science and analytics learning programmes.
- Company: Join Decoded, a pioneer in transformative technology education.
- Benefits: Enjoy competitive salary, 33 days leave, and remote work flexibility.
- Why this job: Shape the future of tech education and empower learners with cutting-edge skills.
- Qualifications: Expertise in data science, analytics, and experience in designing learner-centric training.
- Other info: Work in a dynamic environment with opportunities for continuous learning and growth.
The predicted salary is between 60000 - 65000 ÂŁ per year.
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 Principal Technologist to lead the design and evolution of our best‑in‑class data science and analytics learning programmes. Our Principal Technologist will be a data science and analytics domain knowledge expert who is passionate about architecting modern learning experiences. This role combines deep technical expertise in modern data science and analytics, with high‑level pedagogical leadership. You will lead the curriculum design that spans the full data lifecycle, with an explicit focus on Modern Data Analytics/science, specifically MLOps (operationalising analytics) and the use of Large Language Models to drive insights. You will ensure our content remains at the cutting edge by integrating these technologies into the learner journey for the Level 4 Data Analyst standard and L3 Data Technician standard. You will be responsible for its quality, relevance, performance, and continuous improvement. You will work across multiple stakeholders (commercial, product, LXD, clients, and delivery teams) to define, build, and deliver impactful learning experiences. You will also manage a small team of instructors/SMEs, ensuring high standards of execution and continuous development.
Accountabilities
- Subject Matter Authority: Acting as a primary internal authority for Data Science and Analytics, ensuring technical accuracy, relevance, and industry alignment across all programmes.
- Product Ownership: Acting as the end‑to‑end owner of learning products, designing systemic educational solutions – such as internal AI tools or automated grading processes – to solve delivery challenges at scale.
- Design: Designing, developing, and continuously improving high‑quality, production‑ready learning content.
- Teaching: Delivering engaging, high‑impact workshops to adult learners in virtual classrooms.
- Line Management: Providing pedagogical coaching and line management to the Analytics team.
- Commercial Leadership: Leading the pedagogical scoping and educational narrative for commercial bids, working alongside sales and operational teams to ensure technical deliverables are feasible.
- Project Management: Managing the end‑to‑end delivery cycle of complex learning projects, ensuring all technical and pedagogical milestones are met.
Specific Roles & Responsibilities
Your specific responsibilities are:
- Product Ownership and Domain Leadership: Own the full lifecycle of a learning product: discovery, design, build, delivery, iteration, and optimisation. Act as the subject matter authority in data science/analytics, ensuring technical accuracy, relevance, and industry alignment. Lead the technical scoping and pricing for major bids in partnership with sales and operational teams. Define and uphold quality standards for all content, including technical correctness, clarity, and learner outcomes. Proactively identify gaps, inconsistencies, or risks in content and resolve them end‑to‑end. Partner with Product and Commercial teams to shape solutions that meet client and learner needs, leading the technical scoping for new programmes. Own relationships with internal stakeholders (LXD, Product, Delivery) and external client stakeholders. Architect the high‑level technical narrative for Level 4 standards to ensure they remain at the cutting edge.
- Quality of Facilitation: Achieve teaching quality scores that meet or exceed quality indicators. Lead sandbox validation and testing of new teaching technologies before they are rolled out to the wider faculty. Deliver high‑value pilots and novel technical sessions for key clients. Decode and communicate complex concepts and principles with energy, focus, and patience. Facilitate the learning journey for your audience, leaving no‑one behind whilst also providing stimulation for advanced learners. Learn about your learners and the businesses they work for. Define and manage resources and assets for products and programmes you own, proactively filling gaps in your knowledge. Maintain a continual learning mindset and strive to advance your knowledge in your specialist domains.
- Line Management: Provide direct line management to instructors and SMEs, including goal setting, performance reviews, and ongoing career development planning. Foster a high‑performance, inclusive team culture by addressing performance issues, recognising achievements, and promoting accountability and collaboration. Act as an escalation point for people‑related matters, resolving conflicts, supporting wellbeing, and ensuring adherence to organisational policies and standards. Support resource planning and allocation, ensuring the team is effectively staffed, prioritised, and aligned with strategic objectives.
Team & Reporting Structure
You will report into the Portfolio Director, Data Analytics, in the Product Department.
Who are you?
Core Requirements: Experienced in designing and delivering technical learner‑centric training programmes. A data science / analytics subject matter expert with strong practical experience. Confident coding in Python and familiar with AI copilots for code generation and AutoML python libraries. Deep technical knowledge of the data analytics lifecycle, including advanced Python, SQL, and practical use of Large Language Models in Data Analytics. Understanding how to teach the transition from basic code to production‑grade analytics. Able to own complex workstreams independently, from definition through to delivery. A strong communicator who can simplify complex ideas without losing accuracy. Highly organised, detail‑oriented, and reliable in execution. Comfortable working across multiple stakeholders and priorities. Always keen to learn, improve and stretch your own knowledge, skills and behaviours.
Desirable Skills: Exposure to data engineering or software development practices. Experience developing apprenticeship programmes. Experience in line management or mentoring. Experience with Excel, PowerBI, and Power Automate. Familiar with semantic data modelling. Experience with cloud‑based platforms (AWS, Azure, or GCP) and familiarity with heavier technical engineering items such as Infrastructure as Code via Terraform or large‑scale data tools like Spark.
What does success look like?
- Owning and delivering a high‑quality, fully operational learning product that meets client and learner needs.
- Consistently producing accurate, detail‑oriented, production‑ready content with minimal rework required.
- Demonstrating attention to detail ensuring veracity and quality on all products you own and work on.
- Successfully managing multiple stakeholders and delivering against agreed timelines.
- Enabling learners to apply newly learned techniques to their professional environment.
- 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 workshop delivery.
- Autonomous ownership of learning content development deadlines.
- Overall Facilitation CSAT score of 75%.
Learning and Progression
We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.
Day to Day
This role can be delivered fully remote, provided the working location has consistently reliable Wifi for workshop delivery and up to 2 hours +/- GMT. The Decoded office in London Shoreditch is available for non‑workshop delivery work. You will work from 9am - 5pm. When required, you may need to travel to your learners' workplaces to deliver in person workshops which are delivered in a variety of locations particularly in London and across Europe.
Salary £60,000‑£65,000
Benefits 33 days* leave per year (inclusive of
Principle Technologist - Data Analytics in London employer: Decoded
Contact Detail:
Decoded Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principle Technologist - Data Analytics in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data analytics field. Attend meetups, webinars, or even online forums. You never know who might have the inside scoop on job openings or can refer you to someone at Decoded.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving MLOps or Large Language Models. This will not only impress potential employers but also give them a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and teaching skills. Be ready to discuss how you would design engaging learning experiences and tackle real-world data challenges. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Decoded team.
We think you need these skills to ace Principle Technologist - Data Analytics in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Principal Technologist role. Highlight your experience in data science and analytics, and how it aligns with our mission at Decoded. We want to see how you can contribute to our cutting-edge learning programmes!
Showcase Your Expertise: Don’t hold back on showcasing your technical skills! Whether it's Python coding or your knowledge of MLOps, let us know how you've applied these in real-world scenarios. We love seeing practical examples that demonstrate your subject matter authority.
Be Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point while still showing off your personality!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at Decoded!
How to prepare for a job interview at Decoded
✨Know Your Stuff
As a Principal Technologist in Data Analytics, you need to showcase your deep technical expertise. Brush up on the latest trends in data science, MLOps, and Large Language Models. Be ready to discuss how you've applied these concepts in real-world scenarios.
✨Showcase Your Teaching Skills
Since this role involves delivering engaging workshops, prepare to demonstrate your teaching style. Think of examples where you've simplified complex ideas for learners. You might even want to plan a mini-presentation to show off your facilitation skills during the interview.
✨Engage with Stakeholders
This position requires collaboration across multiple teams. Be prepared to discuss how you've successfully managed relationships with various stakeholders in the past. Highlight any experiences where you’ve led projects or worked closely with commercial teams to deliver impactful learning experiences.
✨Emphasise Continuous Learning
Decoded values a continual learning mindset. Share how you keep your skills sharp and stay updated with industry advancements. Mention any recent courses, certifications, or self-study initiatives that demonstrate your commitment to personal and professional growth.