IRIS is continuing to grow its Data Science team as the business relies more heavily on data to support reporting, decision-making and future initiatives across finance, sales and operations.
This is a newly created role to support the ongoing development of ABIOS, our internal data platform. ABIOS is used daily by teams across the business and plays an important role in areas such as billing, reporting and operational insight, supporting around £500k of monthly revenue.
The role would suit someone who enjoys working with SQL, likes understanding how data is used in a real business context, and wants to be close to the problems they’re solving rather than working on isolated technical tasks.
Why This Role Matters
ABIOS underpins a lot of day-to-day activity at IRIS. It brings together data from multiple core systems and makes it usable for teams who rely on accurate, timely information.
1. Used by over 700 internal users each day
2. Supports billing, finance and operational reporting
3. Helps teams view, update and work with trusted data
4. Continues to evolve as the business grows and changes
You’ll help keep the platform running smoothly while also contributing to improvements and future changes, including a move towards a hybrid Azure / AWS environment.
About the Team You'll Join
You’ll join a small team of Business Intelligence Developers within the wider Data Science function, reporting into the Senior Manager, Data Science.
The team works collaboratively and supports one another. There’s a mix of development, data and analysis skills, and people are encouraged to share ideas, ask questions and challenge how things are done when it makes sense.
What You'll Be Doing
This is a hands-on role with a mix of development and support. Day to day, you’ll be:
5. Building and improving internal data tools within ABIOS
6. Writing and maintaining SQL queries, views and datasets
7. Pulling data from data warehouses and preparing it for use in tools and reports
8. Investigating and fixing data issues to maintain data quality
9. Testing changes and new features to ensure they work as expected
10. Working with internal teams (such as Finance and Sales) to understand what data they need
11. Documenting solutions and creating simple user guides
12. Supporting wider Data Science BAU activity when needed
As you become more familiar with the platform, you’ll take on more ownership and start contributing to how solutions are designed, not just built.
What We’re Looking For
This role is suited to someone with a solid foundation who is keen to develop further.
You’ll ideally have:
13. Commercial experience working with SQL and data manipulation
14. Strong Excel / Microsoft 365 skills
15. Experience working with data in a business environment
16. A structured, organised approach and good attention to detail
17. The ability to explain technical topics clearly to non-technical colleagues
Experience in the following would be useful but isn’t essential:
18. Postgres, MySQL or similar databases
19. C# .NET, JavaScript, HTML/CSS
20. Azure or AWS
21. Internal data tools or reporting platforms
22. Agile or Waterfall delivery approaches
More importantly, we’re looking for someone who is:
23. Curious and keen to learn
24. Comfortable asking questions and picking up new systems
25. Practical and solution-focused
26. Happy working as part of a team but able to take ownership of tasks
27. Willing to put the effort in and grow with the role
What You’ll Gain
28. A role that supports core business activity, not side projects
29. Clear ownership and responsibility as you build confidence
30. Exposure to cloud platforms and modern data practices
31. Support and on-the-job learning from an experienced team
32. Opportunities to develop towards more advanced data work over time
Our Application Process
We like to keep things simple, transparent, and fair:
Apply online
Just upload your CV and tell us why you’re interested in the role.
Initial Interview (plus Online Assessments)
33. A chat with our Talent team.
34. Two short assessments: CCAT (15-minute timed test). EPP (untimed personality questionnaire).
Hiring Manager interview
A conversation focused on your experience, mindset and motivation for the role. We’re looking for genuine interest and understanding of what the role involves.
Technical / practical test
A SQL- and data-focused assessment sent to you to complete independently. The test is designed to assess your own technical ability and understanding.
Final face-to-face interview (Peterborough/Manchester)
A final discussion with senior members of the Data Science team, including the hiring manager, to explore fit, collaboration style and how you’d work day to day.
If you’re looking for a role where your SQL skills are genuinely used, your work is trusted, and you can grow with the platform over time, we’d like to hear from you.