At a Glance
- Tasks: Deliver engaging technical content and support apprentices in developing AI and data skills.
- Company: Join Multiverse, a leading upskilling platform transforming the workforce for the AI era.
- Benefits: Enjoy 27 days holiday, health insurance, hybrid work, and wellness resources.
- Other info: Be part of a diverse team with excellent career growth opportunities.
- Why this job: Make a real impact by empowering learners to thrive in tech and data fields.
- Qualifications: Strong communication skills and proficiency in data tools like SQL and Python.
The predicted salary is between 35000 - 45000 β¬ per year.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance.
In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era.
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 owner's 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.
This is a full-time, permanent opportunity to join the Multiverse team.
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, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support.
- Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month.
- Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year.
- Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that's always stocked!
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.
Our Commitment to Safeguarding: Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Data Instructor in Manchester employer: Multiverse
Multiverse is an exceptional employer, offering a vibrant and inclusive work culture that prioritises employee growth and development. With comprehensive benefits including 27 days of holiday, private medical insurance, and a commitment to diversity, Multiverse empowers its instructors to thrive in a supportive environment while making a meaningful impact on the future workforce in the AI and tech sectors.
StudySmarter Expert Adviceπ€«
We think this is how you could land Data Instructor in Manchester
β¨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that Data Instructor role.
β¨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your experience with data tools like SQL, Excel, and Python. This will help you stand out during interviews and showcase your expertise.
β¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on explaining complex concepts clearly, just like you would in a classroom setting.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure your application gets noticed. Plus, it shows youβre genuinely interested in joining Multiverse and contributing to our mission of upskilling the workforce.
We think you need these skills to ace Data Instructor in Manchester
Some tips for your application π«‘
Show Your Passion:Let us see your enthusiasm for teaching and upskilling in the AI and tech space. Share personal experiences or projects that highlight your commitment to helping others learn and grow.
Tailor Your Application:Make sure to customise your application to reflect the specific skills and experiences mentioned in the job description. We want to see how you align with our mission and values at Multiverse!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use clear language to explain your qualifications and how they relate to the role of Data Instructor.
Apply Through Our Website:We encourage you to submit your application through our website. Itβs the best way for us to receive your details and ensures youβre considered for this exciting opportunity!
How to prepare for a job interview at Multiverse
β¨Know Your Stuff
Make sure you brush up on your technical skills, especially in Excel, SQL, and Python. Be ready to discuss real-world projects where you've applied these skills, as this will show your practical knowledge and experience.
β¨Engage with the Mission
Familiarise yourself with Multiverse's mission and values. Be prepared to articulate how you can contribute to their goal of upskilling apprentices in AI and tech. This connection will help you stand out as a candidate who truly aligns with their vision.
β¨Showcase Your Teaching Style
Since the role involves delivering technical content, think about how you would create an engaging learning environment. Prepare examples of how you've facilitated workshops or training sessions in the past, focusing on your ability to adapt to different learning styles.
β¨Ask Thoughtful Questions
Prepare some insightful questions to ask during the interview. This could be about the onboarding process, the types of apprentices you'll be working with, or how success is measured in the role. It shows you're genuinely interested and have done your homework.