Head of Advanced Data Science

We are representing a pioneering data intelligence and solutions firm that provides mission-critical predictive insights to leaders in the financial services automotive and property sectors. For years they have been at the forefront of simplifying complex data ecosystems building integrated digital platforms supercharged with cutting-edge analytics. Their work provides unique opportunities and real-time efficiencies for a blue-chip client base. This is a chance to join a non-corporate culture that fosters excellence collaboration and a profound sense of ownership.

Performance Objectives for Year One

• Architect and Lead a Flagship Commercial AI Project: Within the first 12 months conceptualize lead and deliver a new commercially viable prescriptive analytics product for a key industry vertical (e.g. property automotive). Success will be defined by the successful prototype and a clear roadmap to production.
• Overhaul the Machine Learning Prototyping Framework: Within the first 9 months design and implement a new strategic framework for the rapid iteration and prototyping of predictive models. The goal is to demonstrably accelerate the concept-to-deployment lifecycle for new AI-driven product features.
• Establish a New Standard for Explainable AI (XAI): Champion and embed the principles of XAI across the analytics function. Within the first year develop and implement a new standard for communicating complex model outcomes to non-technical executives and external clients ensuring greater clarity trust and adoption of our solutions.
• Elevate the Advanced Data Science Teams Capability: Evolve the existing high-performing data science team by creating and rolling out a new professional development and mentorship roadmap. The objective is to measurably elevate the teams capabilities enabling them to take full ownership of more complex end-to-end AI projects.
• Drive Cross-Functional Analytics Strategy: In partnership with the Chief Analytics Officer and leaders in Data Software and Product co-develop the analytics and AI strategy. Success in the first year will involve leading a key cross-functional initiative that integrates a new advanced model into one of the companys core platform systems.