We are seeking an exceptional, visionary Director of Data Science to lead our analytics and AI strategy, including the modelling and optimisation of community batteries and creation of virtual energy storage to enable shared, digital access. This leadership role will drive the technological innovation that underpins Allye Energy's mission to revolutionize energy storage. Responsibilities - Lead the overall data science strategy, setting the technological vision for Allye Energy's energy banking platform - Develop and oversee the implementation and deployment of AI models for: - Energy demand and supply forecasting - Real-time grid optimization - Automated trading and financial performance maximization - Develop framework and modelling for virtual energy storage concept, including digital twins - Establish robust data governance, quality assurance, and model validation processes - Drive cross-functional collaboration between data science, engineering, product, and business teams - Mentor and develop a high-performing data science team, fostering a culture of innovation and continuous learning - Represent Allye Energy at industry conferences and contribute to thought leadership in energy technology Qualifications Required Qualifications - Master’s degree or PhD in computer science, Data Science, Machine Learning, Electrical Engineering, or a closely related field - 8 years of data science experience, with 4 years in leadership roles - Proven track record of developing and deploying complex predictive models in energy, financial trading, or related complex systems _Required Technical Expertise_ - Time series machine learning techniques - Algorithmic trading or energy arbitrage modelling - Cloud computing platforms _Preferred Technical Expertise_ - Mixed integer linear programming - Large-scale distributed system design - Edge computing and IoT integration strategies _Strategic Leadership Requirements_ - Proven ability to align technical strategy with business objectives - Experience in building and leading high-performing data science teams - Track record of driving technological innovation - Demonstrated ability to translate complex technical concepts for non-technical stakeholders Preferred Experience - Background in energy storage, electric vehicle technology, or smart grid systems - Experience with renewable energy trading platforms - Publications or patents in machine learning and energy optimization - Active involvement in academic or industry research networks - Ability to secure funding and support for transformative data science initiatives