Senior Data Scientist

About Us

We’re National Grid Electricity Distribution (NGED), the owner and operator behind the electricity distribution systems for the Midlands, the Southwest of England and South Wales. Serving communities of more than 8 million people, our expert teams deliver heat, light and power for homes and businesses, working outdoors with underground cables, overhead lines and substations that operate between 230 and 132,000 volts.

Net-zero targets are transforming the way we work and increasing the scope of the positive impact we can make. Right now, we’re looking for a Senior Data Scientist to join us.

Job Introduction

This is an exciting opportunity to join the Data Science Team based at our Bristol office, as a Senior Data Scientist, to work with business stakeholders to identify and understand use cases for the application of analytical and Data Science techniques that provide commercial and customer value.

As a key member of the team, the Senior Data Scientist will be responsible for driving insights and efficiencies across the organisation through the application of advanced machine learning techniques and data analysis.

This role will play a critical role in helping National Grid make informed, data-driven decisions that drive growth and optimise performance.

As part of our hybrid working approach, this role offers a mix of office and home working.

If you are offered a position, you will be required to successfully complete a basic DBS check that shows any unspent convictions or conditional cautions.

*Please note you may initially be appointed at a lower salary until all relevant courses and training are complete.

Main Responsibilities

• Develop and implement machine learning models and algorithms to uncover trends, patterns, and insights in large and complex data sets.
• Work with cross-functional teams to identify high-impact business challenges and develop data-driven solutions.
• Conduct data analysis, interpret results, and make recommendations for action based on insights derived from the data.
• Design and develop predictive models using statistical and machine learning techniques to drive operational efficiencies and improve business performance.
• Collaborate with business stakeholders to identify opportunities for data-driven decision making and support them in developing and executing data-driven strategies.
• Mentor and train data scientists, providing guidance on data analysis, machine learning techniques, and best practices for data science projects.
• Stay current on industry trends and emerging technologies, and evaluate their potential impact on National Grid's data science and analytics initiatives.
• Lead on NGED utilisation of Machine Learning and Artificial Intelligence
• Communicate effectively across all NGED business areas and externally, ensuring all required areas are engaged to support and deliver timely and effective output and business insight and intelligence.
• Understand data governance and ensure solutions are developed and delivered in line with emerging Data Governance processes;
• Recognise and exploit business opportunities to ensure more efficient and effective performance of the organisation;

The Ideal Candidate

• A degree in Computer Science, Statistics, Mathematics, or a related field.
• Strong experience with machine learning techniques and predictive modelling, including experience with Python and/or R programming languages.
• Strong data visualisation and storytelling skills using tools such as Tableau, PowerBI, or similar.
• Experience working with large and complex data sets and a deep understanding of data science methodologies and best practices.
• Strong collaboration and communication skills with the ability to effectively present findings and insights to technical and non-technical stakeholders.
• Proven experience in a data science leadership role with the ability to mentor and train data scientists.

As a member of the Data Insights team, you will have the opportunity to work with cutting-edge technology and make a meaningful impact on the lives of our customers and communities. We offer a dynamic and collaborative work environment. If you are a seasoned Data Scientist with experience working with large and complex data sets, we encourage you to apply for this exciting opportunity.

Your Benefits

Joining the UK’s leading electricity distribution business means plenty of career opportunities and well-deserved recognition. We reward hard work and encourage ambition. So, as well as a competitive salary, you’ll have 26 days annual leave plus 8 bank holidays. You can use our competitive contributory pension scheme (we double match your contributions up to a maximum of 10%), and you could even benefit from our annual Share Save plan. We supply your protective clothing and safety equipment, and there’s free parking at all our main sites. Our Employee Assistance Programme is there to take care of you and includes musculoskeletal and physiotherapy services if you need them.

About The Company

As an equal opportunities employer who is committed to Diversity, Equity and Inclusion, we celebrate individual difference and are actively bringing in more employees from diverse backgrounds to build on our inclusive culture. We anonymise all jobs in our recruitment system, so we can eliminate unconscious bias and be a workplace that reflects the community we serve. Hiring managers only have access to necessary information after shortlisting has taken place and before interview so they can prepare.

Additional Application Information 

Recruitment correspondence is usually sent by email, so please do check your email account including spam/junk folders regularly after the closing date.

To enhance your candidate experience, we recommend using Google Chrome to complete your online application. Should you have any questions regarding this or require additional support to complete your online application, please email nged.recruitment@nationalgrid.co.uk

We reserve the right to close the vacancy early should sufficient numbers of suitable applications be received. We recommend that you submit your application as soon as possible.