Job description
We’re on a mission to provide equitable access to economic opportunity, for everyone.
We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company’s current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential.
We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together.
Join Multiverse and help us set a new course for work.
The Opportunity
As an instructor, you will be responsible for the delivery of our technical content and supporting our apprentices in upskilling in these technical areas through workshops and drop in sessions. You will help apprentices develop the appropriate Knowledge, Skills & Behaviours throughout their programme.
The Multiverse delivery team is a diverse mix of industry experts, educators, and academics, working together to build the future of work. You will be part of this team, reporting to a Delivery Lead who will guide your development.
To ensure a strong start, you will complete a 3-week onboarding programme, covering:
Modern teaching methodologies - for a hands-on, engaging learning experience
Technical upskilling - to align with the relevant apprenticeship standard
Practical coaching opportunities - a rigorous, robust feedback process to get you ready to launch your programme
At the end of onboarding, you will be ready to support Multiverse apprentices, helping them develop technical expertise and industry-relevant skills relating to AI and Data domains and drive impact within their businesses. We believe this is an opportunity like no other!
Specifically, you will:
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.
About you:
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
Skilled in SQL and ideally Python, demonstrated through real-world projects.
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
How we hire
Benefits
Time off - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support
Hybrid & remote work offering - with monthly visits to the London office and the opportunity to work abroad 45 days a year
Team fun - weekly socials, company wide events and office snacks!
Our commitment to Diversity, Equity and Inclusion
We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.
Right to Work
Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.
Safeguarding
All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service (“DBS”) for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.
