Data Scientist – Credit Risk & AI Innovation

Data Scientist focuses on deliver innovative predictive models into our modern aws production environments.

What the role involves

• Deliver innovative predictive models into our modern AWS production environments.
• Predictive Modelling (Linear & Non-Linear): You will build.
• Monitor models in high-scale production.
• Engineering & Deployment: Work within the engineering team on MLOps to containerise, deploy.

Skills and requirements

• Foundational Stats: You must have an excellent grasp of Linear and Logistic Regression . You understand the assumptions, limitations, and interpretability of these models.
• Advanced ML: Experience with boosting models is essential for our higher-complexity tasks.
• Analytics Patterns: A core ability to creatively analyse a raw dataset and spot trends, outliers, and behavioural clusters without needing a pre-defined hypothesis.
• Explainability: Experience using SHAP or similar frameworks to explain model outputs.

Confirmed role details

• Primarily remote and flexible, collaborating in the central London office at least 2 days per week.
• Culture: As a small, progressive team, we offer the agility to move fast and the autonomy to lead your own projects.