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Multiverse is Europe's first EdTech double unicorn, recently funded at $2.1bn valuation. The company partners with 1,500+ organizations to deliver upskilling apprenticeships in AI, data, and tech adoption, with learners driving $2bn+ ROI for employers.
As a Data Technical Trainer, you will deliver technical content and support apprentices in upskilling through workshops and drop-in sessions. You'll help learners develop knowledge, skills, and behaviors across AI and Data domains, working within a diverse team of industry experts, educators, and academics. You'll report to a Delivery Lead and complete a structured 3-week onboarding covering modern teaching methodologies, technical upskilling, and practical coaching.
Key responsibilities include:
- Facilitate delivery sessions of technical learning content, ensuring alignment with learning objectives and time constraints
- Adhere to the Coach Quality framework to maintain consistent quality and apprentice experience
- Create vibrant, inclusive, motivating learning environments that drive engagement and satisfaction
- Moderate assignments using mark schemes, providing constructive feedback for continuous development
- Maintain an owner's mentality—proactively supporting apprentice progress and success
- Liaise regularly with coaches on apprentice interventions and program completion
- Coordinate with cohort coaches and operations on apprentice development and progress
- Stay current with Multiverse resources, product updates, and industry knowledge
- Build credibility with apprentices using professional experience, domain knowledge, and client context
- Create compelling narratives about Multiverse's mission and connect apprentices to it throughout their journey
This is a full-time, permanent role with hybrid flexibility (in-office once per month for coaches/instructors). Benefits include 27 days holiday plus 5 additional days off, private medical insurance, life insurance, gym membership, mental health support via Spill, and a work-from-anywhere scheme (up to 10 days/year).
REQUIREMENTS:
- Strong written and on-camera communication and presentation skills
- Ability to adjust communication approaches to explain complex concepts to technical and non-technical audiences
- Critical thinking and problem-solving skills, especially in online classroom settings
- Commitment to continuous professional development and staying current with industry trends
- Proficiency in at least two of: Excel for BI, Tableau, or Power BI
- Practical knowledge of predictive modeling (e.g., regression, decision trees) and time series forecasting (e.g., SARIMA)
- Solid understanding of statistical methods and their applications
- Proven experience applying data and advanced analytics in professional settings
- Strong advocate for ethical and responsible data use, with hands-on experience in data governance and knowledge of data protection laws
- Plus: SQL and Python skills demonstrated through real-world projects
