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 hiring opportunities.
- Other info: Inclusive environment encouraging diverse applicants and offering reasonable adjustments.
- Why this job: Kickstart your data career with hands-on experience and real projects.
- Qualifications: Analytical mindset, strong English skills, and full-time commitment.
The predicted salary is between 20000 - 30000 £ 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. iO-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, BigQuery, 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.
Data Coordinator in Training — 10-Week Real-Data Cohort employer: IO Sphere
iO-Sphere is an exceptional employer that prioritises talent over traditional qualifications, offering a unique 10-week training programme that equips you with real-world data skills while working on live projects. With a strong commitment to inclusivity and continuous career support, employees benefit from a collaborative work culture and direct hiring opportunities with leading Oxfordshire companies. Join us to kickstart your data career in a supportive environment that values your potential and growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Coordinator in Training — 10-Week Real-Data Cohort
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like IO Sphere.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including IO Sphere, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like IO Sphere.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including IO Sphere, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Data Coordinator in Training — 10-Week Real-Data Cohort
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so IO Sphere can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at IO Sphere and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at IO Sphere
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells IO Sphere that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into IO Sphere’s culture and workflow.
