About us

At National Grid, our commitment to a cleaner, greener energy future is powered by the dedication and ingenuity of our people. Join our team as a Data Scientist and be a part of something bigger where your unique skills and passions can make a real difference. Together, we are superpowered. 

National Grid is hiring a Data Scientist  on a permanent basis. The base location can be based from our Bristol or Castle Donnington Office - we offer hybrid working policy

Job Purpose

Reporting to the Lead Data Scientist, the Data Scientist will be responsible for developing, implementing, and optimising machine learning and advanced analytics solutions to support decision-making across NGED. This role involves collaborating with data engineers, insight analysts, and key stakeholders to extract value from data, ensuring that AI and predictive models align with business goals and operational needs.

The Data Scientist will apply statistical and machine learning techniques to develop high-quality models, automate data-driven processes, and provide actionable insights. They will work within cloud environments and utilise modern MLOps practices to streamline model deployment, monitoring, and continuous improvement.

This role also contributes to the organisation's data science strategy, ensuring ethical AI principles, best practices in model governance, and a data-driven culture are embedded across the business.

What you'll do

• Develop and deploy machine learning models and AI solutions that address business challenges and improve operational efficiencies.
• Collaborate with data engineers and insight analysts to build scalable data pipelines and integrate models into production environments.
• Apply statistical analysis, predictive modelling, and optimisation techniques to structured and unstructured data.
• Implement MLOps best practices, ensuring automated model training, versioning, monitoring, and governance.
• Support the development of NGED’s AI strategy, contributing to ethical AI and responsible machine learning adoption.
• Conduct exploratory data analysis (EDA) to understand datasets, identify trends, and derive business insights.
• Work closely with stakeholders to translate business needs into data science use cases and recommend appropriate methodologies.
• Optimise and validate machine learning models, ensuring robustness, scalability, and explainability.
• Contribute to research and innovation within data science, exploring new methodologies and staying updated with industry advancements.
• Assist in the creation and maintenance of technical documentation, ensuring transparency in data science processes and decisions.
• Participate in Agile development processes, contributing to iterative model development, feedback loops, and cross-functional collaboration.
• Ensure compliance with data privacy, security, and regulatory requirements when handling sensitive data.
• Share best practices and fostering a collaborative, learning-driven team environment.

About you

• Strong decision-making skills, analytical mindset, and problem-solving capabilities.
• Exceptional communication and stakeholder management skills, with the ability to explain complex models to non-technical audiences.
• Experience working within Agile development frameworks, including Scrum and Kanban.
• Ability to collaborate effectively within cross-functional teams and influence decision-making through data-driven insights.
• Proficiency in Python and/or R, with experience in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Strong SQL skills for querying and transforming structured datasets.
• Experience with cloud-based AI platforms such as AWS SageMaker, Azure ML, or Google Vertex AI.
• Understanding of MLOps practices, including CI/CD for ML, automated retraining, and model monitoring.
• Hands-on experience with big data technologies such as Spark, Databricks, or Snowflake.
• Knowledge of data governance, ethical AI principles, and regulatory compliance in machine learning applications.
• Ability to conduct exploratory data analysis (EDA) and visualise insights using BI tools (Power BI, Tableau, etc.).
• Familiarity with version control systems (Git) and containerisation technologies (Docker, Kubernetes) for deploying ML models.
• Experience in mentoring junior team members and fostering a culture of knowledge sharing.

What you'll get

A competitive salary between ££50,000 – £65,000 – dependent on capability

As well as your base salary, you will receive a bonus based on personal and company performance and a competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%. You will also have access to a number of flexible benefits such as a share incentive plan, salary sacrifice car and technology schemes, support via employee assistance lines and matched charity giving to name a few.

More Information

The closing date for this vacancy is 16th June. However, we encourage candidates to submit their applications as early as possible and not to wait until the published closing date. National Grid’s recruitment periods can and may vary. We reserve the right to remove this advert or close it to further applications at any point during the recruitment process.

We welcome passionate individuals interested in starting a career in IT with strong customer service skills. If you are committed to providing exceptional service, we encourage you to apply.

DE & I statement 

At National Grid, we work towards the highest standards in everything we do, including how we support, value and develop our people. Our aim is to encourage and support employees to thrive and be the best they can be. We celebrate the difference people can bring into our organisation, and welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office.
Our goal is to drive, develop and operate our business in a way that results in a more inclusive culture. All employment is decided on the basis of qualifications, the innovation from diverse teams & perspectives and business need. We are committed to building a workforce so we can represent the communities we serve and have a working environment in which each individual feels valued, respected, fairly treated, and able to reach their full potential.

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