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Data Technical Trainer

Multiverse· Operations
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Remote£0ContractPosted 11mo ago

About the role

Instructor responsible for delivering technical content and coaching apprentices in AI, data, and tech upskilling through workshops and drop-in sessions. Reports to a Delivery Lead and undergoes a 3-week onboarding before supporting apprentices in understanding and applying technical knowledge and industry-relevant skills.

Responsibilities

  • Confidently facilitate delivery sessions of our technical Learning content, ensuring the session delivers against learning objectives within the allotted time.
  • Adhere to the Coach Quality framework to ensure a consistent level of quality for every session and a consistent experience for every apprentice.
  • Create a vibrant, inclusive and motivating environment that drives apprentice learning, engagement and overall satisfaction.
  • Moderate assignments in line with mark schemes to ensure quality and consistency while providing feedback and feed forward for apprentices to continually develop their technical and durable skills.
  • Maintain an owners mentality, whether assigned a learner or in support of other coaches, being proactive in taking action, sharing feedback, or providing support to ensure the progress and success of learners.
  • Regularly liaise with coaches to align on apprentice interventions to ensure successful completion of programme.
  • Coordinate with cohort coaches and operations members to align on apprentice development and progress.
  • Utilise resources & learning opportunities provided by Multiverse, stay up-to-date on knowledge, learning and product updates, to ensure you are equipped to support your apprentices.
  • Build & maintain credibility with your apprentices by utilising a mixture of professional experience, program/domain/industry knowledge and client context in your interactions.
  • Create a compelling narrative about Multiverse, our mission, and the pillars of our offering, and help apprentices connect to it through the duration of their apprenticeship, and beyond.

Qualifications

  • You possess strong written and on-camera communication and presentation skills.
  • You can skillfully adjust communication approaches to explain complex concepts to technical and non-technical stakeholders.
  • You can think critically and solve problems as they arise, especially in an online classroom setting.
  • You are committed to continuous professional development and staying current with industry trends.
  • Proficient in at least two of the following: Excel for BI, Tableau, Power BI
  • Practical knowledge of predictive modelling (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

Skills

Required:Communication and PresentationCross-Functional CollaborationTechnical DeliveryData Analytics ToolsPredictive ModellingEthical Data Use
Nice to have:SQL/Python (Nice to have)

Benefits

  • Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
  • Health & Wellness - private medical Insurance with Bupa, medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - mental health support
  • Hybrid work offering - in-office collaboration three days per week (Coaches and Instructors once a month)
  • Work-from-anywhere scheme - up to 10 days per year
  • Space to connect - weekly catch-ups, seasonal celebrations, stocked kitchen
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About Multiverse

Upskilling platform for AI and tech adoption

We’re building a world where tech skills unlock people’s potential. We deliver professional apprenticeships to boost productivity and upskill talent for jobs of the future.

AIdatatech adoptionapprenticeshipslearning
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