Apprentify
Data Trainer/Coach

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We need someone ready to turn data theory into real workplace capability, coaching learners to build the confidence and commercial instinct to make an impact with data from week one of their apprenticeship programme.
Who We Are
Apprentify Group is a portfolio of six companies, each with its own culture, personality and people. Across the group, we support around 10,000 learners a year and we're scaling fast, including a growing data delivery function that needs people who can hit the ground running from day one.
THE QUICK FACTS
- Location: Remote-first, UK. Occasional travel for team events or customer meetings.
- Contract: Full-time, permanent
- Start: As soon as possible
- Must hold (or be able to pass) an Enhanced DBS check
- Programmes: Data Technician (level 3) and Data Analyst (level 4)
LIFE IN THE ROLE
The real work: Most of your time is spent delivering high-quality training sessions, group and 1-2-1, on data and giving constructive, developmental feedback on workplace projects. It moves fast, sometimes gets messy, but never boring.
The environment: We work remote-first. You won't be micromanaged, but you will be expected to own your results from day one. Apprentify is a scale-up; processes are still being built and things evolve quickly. The people who thrive here see that as an opportunity, not a problem.
TEAM & CULTURE
You'll join the Delivery team, results-focused, value-driven culture contributors who move fast and support each other.
- Reports to: Performance Manager
- Delivery Management style: Clear expectations, genuine autonomy over how you get there
What we value:
- Curiosity over perfection
- Progress over polish
- People who take ownership without being asked
THE HONEST HARD BIT
Managing the full apprentice journey while balancing compliance tracking and high-quality coaching. Apprentices learn at different speeds, and keeping everyone on track for their End-Point Assessment requires serious organisational stamina. If you can handle that, you'll love it here.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
IS THIS FOR YOU?
✔ You genuinely care about unlocking talent and enjoy helping people grow
✔ You can translate technical data concepts for non-technical learners without losing the substance
✔ You take ownership without needing to be chased
✔ You're comfortable with ambiguity and a fast-changing environment
✔ You enjoy being challenged to keep growing yourself
This is NOT for you if:
✘ Your data knowledge is theoretical and you can't explain complex concepts to non-technical audiences
✘ You prefer slow, predictable work
✘ You've never trained or coached others before
✘ You see documentation and compliance as someone else's problem
✘ You need a fully structured corporate environment to do your best work
What You Bring
- Minimum 2 years' experience within data analytics, computer science, statistics/mathematics or equivalent
- Proven experience delivering training, coaching or facilitation in professional or educational settings
- Ability to give high-quality developmental feedback that supports learner progress and achievement
- Knowledge and confidence using digital tools and online learning platforms
- Understanding of Safeguarding, Prevent and Equality & Diversity responsibilities
- A track record of supporting learners to achieve higher-level outcomes, such as merits and distinctions at EPA
Nice to have: industry-recognised qualifications such as BCS Data Analyst, Microsoft (Power BI, Azure Data) or Google Data Analytics Professional Certificate, knowledge of End-Point Assessment processes for Data Tech Level 3 & Data Analyst Level 4, understanding of Ofsted's Education Inspection Framework, a teaching, training or assessing qualification, and understanding of the use of AI in data analytics.


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What We Offer
- Competitive salary
- 25 days annual leave (plus bank holidays), increasing with length of service
- Private medical insurance
- Birthday Leave + Volunteer Day
- Hybrid working with regular collaboration days in our Wilmslow HQ
- Ongoing professional development and leadership support
- Enhanced family leave policies
- Access to mental health and wellbeing support
- Regular company-wide events and team socials
THE INTERVIEW PROCESS
Stage 1, Recruiter screening call (30 minutes): A conversation about your experience and the role, to ensure genuine alignment before moving forward.
Stage 2, Micro-teach (45 minutes): You'll prepare and deliver a 15-minute coaching session, followed by a Q&A.
Stage 3, Capability interview (1 hour): A conversation about your data experience and your training and coaching approach.
At Apprentify, we are committed to creating a diverse and inclusive workforce that reflects the communities we serve. We welcome and encourage applications from people of all backgrounds, particularly those who are currently underrepresented in our workforce. We value different perspectives, lived experiences and ways of thinking, and we recognise the positive impact they have on our learners, our culture and our organisation. We are dedicated to removing barriers in our recruitment process and will provide reasonable adjustments where needed to ensure all candidates have a fair opportunity to succeed. If you have any questions about the application process or would like to discuss reasonable adjustments, please get in touch with us – we're here to support you.
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