National Grid is looking to deliver safe and secure energy to homes, communities, and businesses while reducing energy delivery costs and pioneering flexible energy systems, and the Head of Data Science will play a crucial role in this mission by driving the development and implementation of Data Science and AI initiatives.
Requirements
- Programming: Proficiency in Python and SQL.
- Data Insights: Deep knowledge of data manipulation, data visualization, and data wrangling with experience in tools like, Power BI.
- Cloud Platform: Hands-on experience – preferably with Azure (AWS and GCP also considered).
- Functional expertise in data science, statistical modelling, data analysis, and AI techniques.
- Advanced degree (Master’s or Ph.D.) in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics is preferred.
- 10+ years of experience in data science or equivalent, with at least 5 years in a leadership or management role.
- Strong understanding of business processes within at least one of the following domains: gas and electric operations, finance, customer experience, HR, legal and compliance, with the ability to translate business problems into data-driven solutions.
Responsibilities
- Lead and manage the flexible Data Science delivery teams (pods), ensuring alignment with business objectives and fostering a culture of innovation, collaboration, and continuous learning.
- Strategy delivery: Execute the AI Strategy, setting clear goals and priorities in line with business needs and company vision.
- End-to-end development: Own the end-to-end development of AI initiatives, from concept to validation of the AI solution with the business, ensuring the delivery of actionable insights that drive business impact.
- AI Solution Deployment: Work with Head of ML Engineering to ensure that AI solution deployments are on track and are consistent with business expectations
- Cross-functional collaboration: With senior leadership, platform, engineering, and operations teams to understand needs and translate into action plans.
- Model Development: Oversee the creation of predictive models, machine learning algorithms, and data-driven insights that solve complex business challenges.
- Thought Leadership: Stay ahead of industry trends in data science and AI (including Generative AI) to implement cutting-edge technologies and techniques.
Other
- Education: Advanced degree (Master’s or Ph.D.) in a quantitative field such as Data Science, Computer Science, Statistics, or Mathematics is preferred.
- Leadership: Demonstrated experience in overseeing multiple teams comprising technical specialists (including data scientists, machine learning engineers, data engineers) as well as functional specialists (e.g. product owners)
- Communication & Stakeholder Management: Demonstrated ability to influence and collaborate with cross-functional teams and senior stakeholders, including technical and non-technical colleagues.
- Utility expertise: Strong track record in the regulated utility space, ideally at an IOU.
- Internal candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.
