At a Glance
- Tasks: Deliver engaging training sessions on data analytics and provide constructive feedback.
- Company: Join a fast-growing portfolio of companies dedicated to transforming learners into data professionals.
- Benefits: Remote-first work, autonomy, and opportunities for personal and professional growth.
- Other info: Dynamic, supportive team culture with a focus on results and ownership.
- Why this job: Make a real impact by shaping the next generation of data analysts.
- Qualifications: 2+ years in data analytics and experience in training or coaching.
The predicted salary is between 50000 - 65000 £ per year.
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.
We need someone who can turn data theory into real workplace capability, helping learners build the confidence and commercial instinct to make an impact with data from week one of their programme. We need someone ready to transform aspiring learners into high-performing data professionals by delivering world-class coaching and training that drives real business impact.
The Quick Facts
- Location: Remote-first (with 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
Life in the role
Forget the long list of duties. Here's what your days actually look like:
- The real work: Most of your time is spent delivering high-quality training sessions (group and 1-2-1) on data analytics 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.
This is for you if:
- You have a minimum of 2 years’ professional experience working directly within data analytics, computer science, or statistics/mathematics.
- You have proven experience delivering training, coaching, or facilitation in a professional or educational setting.
- You care about unlocking talent and possess a solid understanding of adult learning principles and work-based learning.
- You are confident using digital tools, managing online learning platforms, and providing high-quality, written developmental feedback on assignments.
- You understand (or are ready to fully own) Safeguarding, Prevent, and Equality & Diversity responsibilities.
This is not for you if:
- Your data knowledge is theoretical and you can't explain complex concepts to non-technical learners.
- You need a step-by-step guide for every task.
- You prefer slow, predictable work.
- You don't enjoy being challenged to grow.
- You have never trained/coached others before.
- You cannot pass an Enhanced DBS check.
Interested? Skip the cover letter. Just send your CV and a short note on your Data experience and why you're the one to shape the UK's next generation of Data Analysts.
Locations
Data Trainer/Coach in Cheshire, Warrington employer: Apprentify
At Apprentify Group, we pride ourselves on being a dynamic and supportive employer that champions personal growth and professional development. Our remote-first work culture fosters autonomy and encourages innovation, allowing you to make a real impact from day one while collaborating with a passionate team dedicated to transforming aspiring learners into high-performing data professionals. With a focus on curiosity and progress, we offer a unique opportunity to thrive in a fast-paced environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Trainer/Coach in Cheshire, Warrington
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Apprentify!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Trainer/Coach at Apprentify.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Apprentify.
✨Apply Directly through Our Website
When you find a suitable opening like Data Trainer/Coach at Apprentify, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Trainer/Coach in Cheshire, Warrington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Apprentify, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Apprentify. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Apprentify
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Apprentify!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
