At a Glance
- Tasks: Join a 10-week programme to work with real data and build your skills.
- Company: iO-Sphere connects you with top employers in Oxfordshire.
- Benefits: Free training, career coaching, and direct job placements with partner companies.
- Other info: Open to all backgrounds; we support diversity and inclusion.
- Why this job: Kickstart your data career with hands-on experience and real-world projects.
- Qualifications: Analytical mindset, strong English skills, and full-time commitment for 10 weeks.
The predicted salary is between 19350 - 23650 £ per year.
Want to move into data, but every job wants experience you can't get without the job?
Whether you've just graduated, you're changing direction, or returning to work — we built a way in.
i O-Sphere works with Oxfordshire employers who need data people — Data Coordinators, Data Administrators, Reporting Analysts, MI and data roles — and who'd rather hire on proven ability than CV keywords.
So instead of sifting applications, we select candidates through a 10-week programme where you work on real data and prove what you can do.
Our partner employers then hire directly from the cohort.
It's fully funded by Enterprise Oxfordshire through the Skills Bootcamps programme — free to you, no fees to the employer. Just a better way to match talent to opportunity.
- How it works
- Apply — quick eligibility check and a short screening call
- Join the cohort — 10 weeks working in PRISM, our simulated company with 500m+ rows of real data
- Build a portfolio — Excel, Power BI, Big Query, AI tools and real stakeholder projects
- Meet employers — partners hire the best directly from the cohort
- Get placed — if a partner doesn't hire you, you get continued career coaching until you land a role
Over 800 people we've trained now work at companies including Ocado, Cook Food, and Dunelm.
- This is for you if
- You're a recent graduate, a career-changer, or returning to work and ready for something new
- You're analytical and numerate, with strong written and spoken English
- You can commit full-time for 10 weeks from 6 July 2026
- You live in Oxfordshire and have the right to work in the UK (no sponsorship)
- This isn't for you if
- You can't commit full-time for the 10 weeks
We strongly encourage applications from women, people of colour, LGBTQ+ individuals, veterans, parents, and people with disabilities. Reasonable adjustments available throughout.
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Data Coordinator in Training — 10-Week Real-Data Cohort in England employer: IO Sphere
At iO Sphere, we pride ourselves on being an innovative employer that values real-world experience and practical skill development. Our hybrid work culture fosters flexibility and collaboration, allowing you to coach professionals in a dynamic environment while enjoying the benefits of part-time work. With a commitment to employee growth and a unique approach to training, you'll have the opportunity to make a meaningful impact in the field of data and AI coaching.
StudySmarter Expert Advice🤫
We think this is how you could land Data Coordinator in Training — 10-Week Real-Data Cohort in England
✨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 IO Sphere!
✨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 Coordinator in Training — 10-Week Real-Data Cohort at IO Sphere.
✨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 IO Sphere.
✨Apply Directly through Our Website
When you find a suitable opening like Data Coordinator in Training — 10-Week Real-Data Cohort at IO Sphere, 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 Coordinator in Training — 10-Week Real-Data Cohort in England
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 IO Sphere, 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 IO Sphere. 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 IO Sphere
✨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 IO Sphere!
✨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.
