At a glance
- Employment
- Full-time
- Location
- London · Remote (UK)
About the role
- The Data Instructor is responsible for delivering technical content and supporting apprentices through workshops and drop-in sessions.
- This role involves helping apprentices develop essential knowledge, skills, and behaviors in AI and data domains to drive business impact.
- Instructors work within a diverse team of industry experts and educators to facilitate learning and maintain high-quality standards.
Responsibilities
- Facilitate delivery sessions of technical learning content against learning objectives.
- Adhere to the Coach Quality framework to ensure consistent apprentice experience.
- Create an inclusive and motivating environment for apprentice engagement.
- Moderate assignments in line with mark schemes and provide constructive feedback.
- Maintain an owner's mentality to ensure learner progress and success.
- Liaise with coaches to align on apprentice interventions and development.
- Coordinate with cohort coaches and operations members regarding apprentice progress.
- Utilize provided resources and stay updated on product and learning developments.
- Build credibility with apprentices using professional experience and industry knowledge.
- Communicate the Multiverse mission and pillars to apprentices throughout their program.
Requirements
- Strong written and on-camera communication and presentation skills.
- Ability to explain complex concepts to both technical and non-technical stakeholders.
- Critical thinking and problem-solving skills in an online classroom setting.
- Proficiency in at least two of: Excel for BI, Tableau, or Power BI.
- Skilled in SQL and Python, demonstrated through real-world projects.
- Practical knowledge of predictive modelling (e.g., regression, decision trees) and time series forecasting.
- Solid understanding of statistical methods and their applications.
- Proven experience applying data and advanced analytics in professional settings.
- Hands-on experience in data governance and knowledge of data protection laws.
- Commitment to continuous professional development.
Benefits
- 27 days holiday plus 5 additional days off
- 8 bank holidays per year
- Private medical insurance with Bupa
- Medical cashback scheme
- Life insurance
- Gym membership
- Wellness resources through Wellhub
- Mental health support through Spill
Workplace
- Hybrid work offering with office collaboration required once a month for Instructors.
Skills
- Excel For BI
- Tableau
- Power BI
- SQL
- Python
- Predictive Modelling
- Time Series Forecasting
- Data Governance
