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