Job Description

We have partnered with a fast-growing, product-led organisation that is investing heavily in modern data science and applied AI.

This is a chance to work on problems where experimentation, model impact and real-world deployment actually matter. The environment is hands-on, fast moving and built for people who want to push beyond dashboards and offline models.

This role is about building, testing and shipping intelligent systems. Think modern ML stacks, real-time data, large-scale experimentation and the intersection of classical data science with today's AI tooling.

About the role:

  • Design and build end-to-end data science solutions, from problem framing to production deployment
  • Work with large, messy, real-world datasets and turn them into models that influence product and business decisions
  • Develop and iterate on machine learning models including predictive, probabilistic and optimisation-based approaches
  • Experiment with m...

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