Data Scientist

We’re looking for an exceptional early‑career Data Scientist with a strong academic background and outstanding Python capability to work on real, high‑impact machine‑learning problems in a data‑rich, fast‑moving environment.

This role is ideal for a top master’s graduate who enjoys moving from theory to practice — building models, experimenting with data, and turning rigorous analysis into tools that influence real decisions.

What You’ll Do:

• Build and experiment with machine‑learning models across forecasting, classification, clustering, optimisation, and anomaly detection
• Work hands‑on with large, real‑world datasets: feature engineering, hypothesis testing, and model evaluation
• Design and test ML pipelines using techniques such as LSTM, SVM, K‑means, regression, tree‑based and ensemble models
• Develop clean, production‑ready Python tooling for modelling, back testing, and performance monitoring
• Collaborate with engineers to move models from research into reliable, deployed workflows

What We’re Looking For

• Master’s degree from a leading university (Machine Learning, AI, Data Science, Statistics, or Computer Science)
• Strong foundations in machine learning, statistics, and time‑series data
• Excellent Python skills with evidence of real ML or analytical projects
• Comfortable balancing academic rigour with speed and pragmatism
• Curious, analytical, and excited to solve messy, real‑world problems