Data Scientist
We’re on a mission to back the UK’s small businesses like no one else 🚀
The impact is real
Come and join a mission that matters!
The role ⚡
Model Development
Optimization
Communication
Problem Solving
Experimentation
What we’re looking for 🌱
We value deep expertise, but a growth mindset and good energy are what really make our team click. We’re a group that chooses to lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models, we are expanding our borrower products so you will have the opportunity to develop completely new models.
- Degree educated in a quantitative STEM discipline with a demonstrated capability to transition theoretical concepts into functional, real-world solutions
- Proven track record of leveraging rigorous quantitative frameworks, structured problem-solving, and analytical methodologies to solve complex business problems.
- End-to-end hands-on experience in statistical modeling, Machine Learning architecture, and deployment, demonstrated through production-level enterprise experience, high-impact research, or advanced project delivery.
- Strong proficiency in Python for data manipulation, statistical analysis, and modeling, with a focus on writing clean, efficient, and reproducible code.
- Deep operational familiarity with SQL, including writing optimised queries, joining complex multi-table datasets, and transforming raw enterprise data into analysis-ready formats.
- Track record of collaborating with cross-functional partners to translate technical outputs into actionable commercial insights, key metrics, or product improvements.
- Able to take ownership and designing workflows, using AI to automate complex tasks and drive operational efficiency
- Identify high-impact AI use cases and implement advanced prompting techniques to solve multi-layered business challenges
Skills we’d love to see
- Prior experience working in Credit Risk or Data Science space
We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.
Why join us? 💜
The Sunday Times Best Companies to Work For 2026
Flexibility
Health
Wealth
Development
Lifestyle
Ready to join a mission that matters? We’d love to chat!
Skills
Who can apply
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