Data Scientist

About the role

sequential decision-making problems under real-world operational constraints. pricing, and resource optimisation across multi-objective environments. business value, and user experience while balancing competing objectives. across supervised, unsupervised, self-supervised, probabilistic, and reinforcement learning paradigms.

What you'll do

• Design scalable algorithms for matching, allocation, routing, scheduling
• Develop optimisation frameworks that maximise long-term system efficiency
• Design, develop, and deploy production-grade machine learning systems
• Develop robust feature representations and scalable learning architectures
• Improve model performance through principled experimentation, rigorous

What you need

• Machine learning
• SQL
• Python
• Statistics
• Any graduate