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# Data Scientist

- **Company:** THE OPPORTUNITY HUB UK LTD
- **Location:** Glasgow, UK
- **Salary:** £44,500.0 - £57,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Python (Programming Language), Machine Learning, Software Product Management, SQL Databases, Pandas, Scikit Learn
- **Published:** October 23, 2026
- **Apply:** https://www.jobs.service.gov.uk/jobs/6adb0b48b535da8c5347ad01/apply

## About the Role

Strong Python skills, with solid experience in libraries like pandas, scikit-learn or similar

A working grasp of statistics and machine learning fundamentals, applied rather than just theoretical

Experience with SQL and handling data at scale

Comfortable working independently and making calls without waiting for sign-off at every step

Good communication. You'll need to explain a model's limitations to someone who doesn't care about the maths

Some exposure to cloud platforms (AWS, GCP or Azure) is a strong plus

## Description

Perfect role for a mid professional looking to grow their AI & Technology career in Glasgow.

Data has become the raw material of every serious AI product, and someone still has to shape it. This growing technology startup is building AI driven tools and needs a Data Scientist who can turn messy datasets into models that actually ship. Glasgow's tech scene has quietly become one of the UK's stronger AI hubs, and this is a chance to be properly embedded in that, not just adjacent to it.

Here's what you'll be doing:

Build, test and refine machine learning models that feed directly into the product, not just sit in a notebook

Clean and prepare datasets from multiple sources, flagging quality issues before they become someone else's problem

Work closely with engineers to get models into production and keep them running once they're there

Run experiments and A/B tests, then translate the results into decisions the team can actually act on

Present findings to non-technical stakeholders in plain language, no jargon, no padding

Monitor live model performance and retrain or adjust when the data drifts