- Pay
- £43–64k
- Where
- Manchester, Greater Manchester, GB · GB
- Level
- Mid
Step into this Quantitative Data Scientist role and build something that matters in AI & Technology.
AI and Technology firms live or die by the quality of their models now, not just the size of their datasets.
This particular employer is an established enterprise player, 250 plus staff, the kind of place where a Quantitative Data Scientist works on problems that actually ship to thousands of users rather than sitting in a slide deck.
Manchester's tech scene has grown into a genuine alternative to London for this kind of work, and this business has built its reputation on getting the detail right.
Here's what you'll be doing: Build and validate statistical and machine learning models that feed directly into production systems Translate messy, large-scale datasets into forecasts, risk scores, and decision tools the business actually uses Work with engineering teams to get models into production, then monitor how they perform once they're live Design experiments and A/B tests, then report findings in a way non-technical stakeholders can act on Maintain and improve existing data pipelines, flagging drift or degradation before it becomes a problem Document methodology clearly enough that someone else on the team could pick up your work Here are the skills you'll need: Solid grounding in statistics, probability, and at least one of Python or R used daily, not just in a course Experience with SQL and handling large datasets without everything grinding to a halt A working knowledge of machine learning techniques and when (and when not) to reach for them Comfortable explaining a technical result to someone who doesn't care how you got there, only what it means Able to work within existing frameworks and best practices rather than reinventing them each time Curiosity.
The good ones ask why the number looks odd before they trust it Key perks and benefits: Salary of £42,500 to £63,500, depending on experience Hybrid working, with time split between home and the Manchester office Private medical and dental insurance Enhanced pension scheme and performance-based bonuses Structured career development within a large, established organisation Why pursue a career in AI & Technology?
The sector isn't slowing down, and demand for people who can actually make models work in production, not just in a notebook, keeps climbing.
Manchester has become a serious hub for AI and Technology talent outside London, with lower costs and a growing pool of employers who take the work seriously.
A Quantitative Data Scientist who builds real credibility here tends to find doors open quickly, whether that's upward within a large company or sideways into something more specialised.
This Quantitative Data Scientist opportunity is brought to you by The Opportunity Hub UK.