Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Sign up for Jobbird
An error occurred while opening the sign-up page. Please try again.

Loading window...

Forgot my password
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Log out
Unfortunately, something went wrong while signing out. Please try again.

Loading window...

Job application sent
Something went wrong while logging in. Please try again.
Something went wrong while signing up. Please try again.

Loading window...

logo
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Filters
Filters
Location and distance
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Jobs posted from
Salary from (per month)
Filters
How our sorting works

The order in which job vacancies are displayed is determined by a composite score based on the following factors:

  • Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
  • Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
  • Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
  • Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.

M

Data Skills Coach

Multiverse City of London
new


Show Recently closed jobs

    M

    Data Skills Coach

    Multiverse City of London
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary

    Job description

    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 a Data Skills Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders.


    Specifically, You Will

    • Guide apprentices to successful, timely completion of their programme.
    • Master group and individualised coaching techniques to enhance apprentice learning.
    • Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and a consistent experience for every apprentice.
    • Create a vibrant, inclusive and motivating environment that drives apprentice learning, engagement and overall satisfaction.
    • Maintain an owner’s mentality, whether while working with assigned apprentices or in support of other coaches, be proactive in taking action, sharing feedback, or providing support to ensure the progress and success of our learners.
    • Work with Ops and other supporting teams to review and action the data provided to deliver the best experience for your apprentices.
    • Engage with apprentice managers for synchronous progress reviews using the information provided by the ops teams.
    • Focus on results related to the programme health of your apprentices, implementing interventions in partnership with operations team members to ensure learners stay on track, standing the best chance of success on programmes.
    • Utilize 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 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


    Technical Capability

    • 3 + years of professional experience where you have used data on a daily basis to make informed business decisions
    • Strong expertise in data collection, processing, and analysis, with proficiency in Excel and BI tools.


    Teaching & Coaching Capability

    • Exceptional written, verbal and on-camera communication and presentation skills
    • Practical experience teaching, mentoring or coaching professionals in an academic or commercial environment
    • Demonstrated mastery of coaching best practices and/or openness to develop in this area
    • Passion for delivering the best learning opportunities and supporting others on their development journey
    • Experience managing and developing positive stakeholder relationships; as a coach, part of your role will be working closely with both learners and their managers
    • Belief in the principles of applied learning: supporting learners to develop the knowledge, skills and behaviours to generate real business outcomes as quickly as possible

    About the employer

    Multiverse
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


    Vacancy actions

    Save as favorite
    Share vacancy
    Or apply later


    City of London England

    Jobs

    • Search for jobs
    • Jobs per location
    • Jobs per job profession
    • Jobs per employment
    • Jobs per educational attainment

    Jobbird

    • Switch to different region
    • Terms and Conditions
    © 2026 Jobbird