Data Science Mentor

We’re on a mission to create a diverse group of future leaders. We do that through professional apprenticeships because we believe learning on-the-job creates a more equitable and successful path to careers. We find, train and support talented individuals, wherever they are in their career journey, and equip them with the in-demand tech, software engineering, and data skills to transform their careers and deliver a better route to growth for their employers.

We’ve had some big achievements. We hit 10,000 apprentices in our community - and counting. We launched one of the largest data apprenticeship programs in the UK with Jaguar Land Rover, and we’ve partnered with companies like Mars, Verizon and CitiBank. Not to forget becoming a mission-driven EdTech unicorn after our $220m Series D.

But we aren’t stopping here. Join Multiverse and build the future of learning at work.

The opportunity

As a Data Coach in the Data Fellowship team you will deliver our programme to apprentices who are kick starting their careers in data. In this role, you will lead a mixture of group delivery workshops, group coaching, and one-on-one sessions. You will teach a variety of topics, starting with the data analytics fundamentals such as Excel, SQL and PowerBi, before moving onto data analysis in Python. Your role as a coach is to support your apprentices through their professional development as they develop into a confident Data Analyst.

You could be sitting within one of several Data Programmes that we offer. Specifically in this role, you would be a part of our Data Fellowship or Advanced Data Fellowship depending on your specific technical skills. This would be discussed with you during our interview process.

Specifically, as a Data Coach in the Data Fellowship teams you will:

• Teach, coach and mentor up to 50 or more apprentices through their 15-month journey on the apprenticeship programme, turning them into the next generation of data analysts/scientists and future leaders.
• Deliver interactive online workshop sessions, boot camps and hackathons to help apprentices discover and develop their skills for real-world application.
• You will be responsible for your cohort’s progress through their apprenticeship by tracking and analysing performance and completion elements.
• Familiarise yourself with your cohorts job, department and function - using your business acumen to provide a highly relevant experience for your apprentices.
• Need to be able to learn their roles in detail to work with their managers to support them to successful completion of the apprenticeship programme and onto their future careers.
• Have the opportunity to develop your own technical and pedagogical skills, learning from other coaches and Technical Leads in the programme.

About you:

• You have experience producing and delivering data projects or teaching others in this area.
• You have experience and enjoy developing others, educating, mentoring or coaching. You have a track record of doing this in past roles. Any formal experience or credential in these is a bonus!
• You have experience using Python or another programming language (essential), SQL (beneficial) and PowerBi (beneficial).
• You are comfortable teaching others how to make the most of the above data tools.
• You are skilled in discussing the application of data and data tools in industry.
• You believe passionately in social mobility and equity, and you want to inspire apprentices to kickstart their careers.
• You align closely withand can share examples of how you have demonstrated them in dynamic, environment.

To ensure all coaches who join Multiverse are truly set up for success, you’ll spend the first 2 weeks in your new role going through the fully bespoke Multiverse coach academy. You will learn the pedagogical elements of a Multiverse delivery session, the - teaching and facilitation approaches we use, and the core coach and technical grounding skills to support your apprentices. At the end of Academy, you’ll be ready to launch your first cohort of Multiverse apprentices.

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 weekly or 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!
• Internal Coach Continuous Professional Development scheme, which provides consistent technical and coaching training to help you be the best you can be

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.

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.

This role is internally referred to as a 'Data Fellowship Coach'.

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Job Types: Full-time, Permanent

Salary: £48,500.00-£54,000.00 per year

Benefits:

• Additional leave
• Bereavement leave
• Casual dress
• Company events
• Company pension
• Cycle to work scheme
• Employee stock ownership plan
• Enhanced maternity leave
• Enhanced paternity leave
• Gym membership
• Health & wellbeing programme
• Life insurance
• Paid volunteer time
• Private dental insurance
• Private medical insurance
• Referral programme
• Sick pay
• Work from home

Schedule:

• Monday to Friday

Supplemental pay types:

• Performance bonus

Work Location: Hybrid remote in London