Data Scientist

Data Scientist - Reinforcement Learning

We’re hiring a Data Scientist with hands-on Reinforcement Learning experience to help design and operate pricing and decisioning systems used in live, production environments.

This role focuses on applying RL to real optimisation problems , where models directly influence outcomes and must perform under real-world constraints such as noisy data, delayed rewards, and system trade-offs. This is not a research-only role-production impact matters.

What You’ll Be Working On

• Designing, training, and improving reinforcement learning models for pricing and decision optimisation
• Applying ML to sequential decision-making and optimisation problems
• Deploying, operating, and iterating on models in production environments
• Using AWS ML services including SageMaker and Bedrock
• Partnering closely with data engineering and product teams to integrate models into live systems
• Monitoring model performance and improving behaviour based on real-world feedback

Core Technology Stack

What We’re Looking For

Nice to Have

Why This Role

If you’re excited by seeing reinforcement learning models operate in the real world—and improving them over time-this role is well worth exploring.