Data Scientist
Role details
Job location
Tech stack
Job description
You'll be joining a lean, high-performing data science team of three, in a Fintech that's making serious moves in financial services. This role is about end-to-end ownership. From spotting opportunities to deploying models that stick, you'll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. We require hands-on experience building and maintaining ML/AI predictive models. You'll need to evidence previous advanced predictive modelling or end-to-end ownership of said models. We're specifically looking for someone experienced with the full lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes, and being accountable for real commercial impact. Why This Role Matters Your work will shape how the business operates. To give you an example, one of your future teammates has already transformed the collections function by building models that determine who to call, when to call, and when to send comms - driving a step change in efficiency and results. Now it's your turn. You'll work with senior stakeholders, dig into business pain points, pitch smart solutions, and deliver predictive models that directly influence decisions across the company.
Requirements
- Proven impact - you've taken models into production and seen them deliver real results.
- Autonomous leadership - confident owning projects, engaging stakeholders, and holding yourself accountable.
- Technical credibility - strong hands-on data science capability (R, Python, or similar). What matters is outcomes, not syntax.
- Commercial mindset - able to translate technical solutions into business impact, spotting opportunities others might miss.
- Energy & curiosity - proactive, problem-seeking, and solutions-focused.
