Data Coach in Oxford

Data Coach in Oxford

Oxford Temporary 35000 - 45000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Guide learners through a 10-week data bootcamp, blending online and in-person sessions.
  • Company: Join iO-Sphere, a fast-growing startup transforming data training.
  • Benefits: Competitive pay, flexible remote work, and opportunities for career progression.
  • Other info: Dynamic environment with a focus on inclusivity and learner success.
  • Why this job: Make a real impact by helping others master data skills and achieve their goals.
  • Qualifications: Experience with Excel, SQL, and BI tools; teaching skills are a plus.

The predicted salary is between 35000 - 45000 £ per year.

Blended, with in-person days in Oxford. Starts October 2026. NCFE Level 3 Certificate in Data.

You know data analysis because you’ve done it — and somewhere along the way you found you were the person who could make it land for someone who hadn’t. The dashboard that finally made sense; the 'so what' a stakeholder actually needed. This is that, for ten weeks: mostly online, plus the in-person days in Oxford where it really clicks, with a cohort of career-changers who want what you already have.

You’ll deliver our NCFE Level 3 Certificate in Data as a 10-week bootcamp — blended, from prepared session packs — and carry the cohort from first session to final submission.

About iO-Sphere: We train people to do things with data and AI, not just learn about them. Learners work on real problems — including in Prism, a simulated business we built on 500 million rows of real data. 900+ people have trained with us, we’re rated 4.8 on Google, and we’re one of the UK’s fastest-growing data and AI training startups. Teams at PwC, BAE Systems, Dunelm, Motorway and CBRE send us their people. We’re a startup, so how we coach isn’t finished — and we’d want you helping build it. The people who improve how we do this are the ones deepest in it.

What you’ll do:

  • Deliver the programme from prepared session packs — live online sessions plus roughly 6–10 in-person days in Oxford across the 10 weeks.
  • Run drop-ins, office hours and one-to-ones so nobody quietly falls behind.
  • Run onboarding (suitability) conversations with new joiners and offboarding/exit interviews as learners complete or move on.
  • Put learners’ additional learning support (ALS) plans into practice and teach inclusively, so everyone can access the material whatever their starting point.
  • Mark NCFE unit submissions using our AI-assisted flow in iO Academy: review the AI-drafted feedback, make the final judgement against each criterion, and write feedback learners can act on.
  • Watch pace, not just completion — flag anyone at risk early to the Delivery and Quality teams.
  • Run and document interventions when a learner needs support, and keep it all logged and up to date in Aptem — ALS plans, interventions, contact and progress — to the standard a regulated, inspected provider needs.
  • Provide information, advice and guidance (IAG) on progress and next steps, and support learners with CVs, portfolios and interview prep as they move towards data roles.

What we’re looking for:

  • Hands-on experience with Excel, SQL and at least one BI tool (Power BI, Tableau or similar).
  • Real data analysis experience — work, study or serious projects.
  • Confident teaching technical ideas to people from non-technical backgrounds.
  • Patient, organised, and genuinely energised by other people getting good at something.
  • A genuinely inclusive approach — you adapt so learners with different needs and starting points can all get there.
  • AET Level 3 (Level 3 Award in Education and Training) or equivalent — or ready to complete it fast, before delivery starts (we fund it).
  • Able to be in Oxford for the in-person days across the programme (6-10 days).
  • Experience delivering Skills Bootcamps is ideal.

The essentials:

  • Fixed-term contract, roughly four months. Starts October 2026, through to the week after the programme ends.
  • Blended: mostly online, with roughly 6–10 in-person days in Oxford across the programme.
  • Pay: £11,500-£15,000 for 4 months - £35k-45k annualised - under PAYE.
  • Enhanced DBS, safeguarding and Prevent training, and the right to work in the UK (we can’t offer sponsorship).
  • Progression: depending on programme volume when the contract ends, there’s a genuine route into further bootcamp delivery, trainer, or apprenticeship coaching roles with iO-Sphere.
  • Location: We’re open to individuals remote across the UK. If you’re in London we have our office where you can work with the team and the rest of the skills bootcamp team.

How we hire:

A short screening call, a conversation with the delivery team you’d work with, and a practical task drawn from real delivery or marking rather than an invented puzzle. We move quickly — we need people ready for October.

Safeguarding: iO-Sphere is committed to safeguarding and operates within regulated Further Education environments. All applicants must complete their application honestly and in full, and consent to the pre-employment checks required for the role. Failure to disclose relevant information, or providing false information, will result in the application being withdrawn or employment being terminated.

Equal opportunities: iO-Sphere is an equal-opportunities employer. We hire on merit and welcome applications from every background. If you’d need any adjustment to the process, just tell us.

Data Coach in Oxford employer: iO Sphere

iO-Sphere is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about driving AI adoption in various sectors. With a focus on professional growth, employees benefit from hands-on coaching experiences, flexible hybrid working arrangements, and the opportunity to make a real-world impact over a comprehensive 15-month programme. Join us in London and be part of a team that values trust, problem-solving, and stakeholder engagement while supporting your career development.

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Contact Details:

iO Sphere Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Coach in Oxford

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like iO Sphere before they're even advertised!

Show Off Your Skills With Projects

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We think you need these skills to ace Data Coach in Oxford

Data Analysis
Excel
SQL
Business Intelligence Tools (Power BI, Tableau or similar)
Teaching Skills
Organisational Skills
Inclusivity in Teaching

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at iO Sphere, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to iO Sphere, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab iO Sphere’s attention and show the tangible impact of your work.

How to prepare for a job interview at iO Sphere

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at iO Sphere.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at iO Sphere.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at iO Sphere.