Graduate Data Scientist, IT and Digital

at  National Grid

ABOUT US

National Grid is at the heart of the UK energy network keeping people connected and society moving. We develop, own and maintain the physical infrastructure, such as pylons and cables needed to move the electricity generated from windfarms and power sources around the country. Every time a phone is plugged in, or a switch is turned on, we’ve played a part, connecting you to the electricity you need - and we’re leading the transformation towards a greener future, dreaming bigger to bring a more affordable energy future to everyone.
But it’s our people that provide our true superpower. They drive and sustain our growth, their unique differences only making us stronger. But it’s no small feat – and we need the best to join us in our mission. So, join us and power the future of energy.

Some of your accountabilities will include:

• Data Engineering: The construction, management, and optimisation of data pipelines.
• Data Science and Analytics: Application of scientific methods, processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data.
• Data Innovation: Leveraging of Artificial Intelligence (AI), Machine Learning (ML), and other emerging technologies to address and solve business challenges.
• Data Operations: Management of deployed AI/ML projects

Advancing our technology capabilities is vital to National Grid’s ability to realise our vision to be at the heart of a clean, fair and affordable energy future. Our IT & Digital function is partnering with our business and using new technologies to help improve how we do our job – through cloud computing, artificial intelligence or machine learning, to name just a few.
We nurture and connect our people by integrating data and AI capabilities across the organisation.
The Data ‘Domain’ involves developing strategies for different data types, business units, and innovation. A Data Associate role provides the chance to collaborate with experienced professionals, tackle diverse challenges, and work on projects related to data engineering, data science, analytics, and data innovation. This position allows individuals to gain valuable experience in shaping data-driven solutions and explore various domains before specializing.

Some of your accountabilities will include:

• Data Engineering: The construction, management, and optimisation of data pipelines.
• Data Science and Analytics: Application of scientific methods, processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data.
• Data Innovation: Leveraging of Artificial Intelligence (AI), Machine Learning (ML), and other emerging technologies to address and solve business challenges.
• Data Operations: Management of deployed AI/ML projects.