This role focuses on delivering end-to-end data science and AI solutions in complex production environments, partnering with stakeholders to turn real business problems into reliable, scalable outcomes.
Key Responsibilities
* Analyse complex datasets to deliver actionable insights, communicating outcomes to technical and non-technical audiences.
* Gather and validate requirements for data science initiatives, ensuring alignment to business objectives.
* Lead the development, optimisation, and deployment of ML and GenAI solutions, including model evaluation and responsible use.
* Apply AI ethics and governance principles to ensure solutions are safe, explainable, and fit-for-purpose.
* Conduct applied research and stay current with open-source and emerging technology trends to uplift capability.
* Build production-ready software using strong engineering practices, testing, and validation.
* Contribute to solution architecture and systems design to support effective enterprise integration.
* Support data integrity, security, and accessibility, including data management processes and pipeline optimisation.
* Mentor and coach other data scientists, contributing to standards and best practices across the team.
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