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Lead Data Scientist

National Grid
Warwickshire
1 week ago
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Job Purpose

National Grid is seeking a Lead Data Scientist who is passionate about leveraging advanced analytics to connect people to energy and enhance the sustainability of the energy system. In this role, you will collaborate with a diverse team of data scientists and machine learning engineers to tackle challenges across transmission, distribution, and interconnectors. You will convert data into actionable insights, addressing complex problems that significantly impact the lives of millions.

As a member of the National Grid Data Science team, you will work cross-functionally, mining both large and small datasets and applying a range of analytical techniques—from basic to advanced—to solve business challenges. Example projects the team has undertaken include root cause classification of transmission asset defects and data-driven asset management for interconnector assets. Success in this role requires a strong foundation in:

Stakeholder engagement


Data Science and Machine Learning
Statistical and Probabilistic Analyses
Programming and Software Development
Effective Visualisation and Presentation

What you'll do

Lead major projects from conception to completion, collaborating with multiple teams and stakeholders to understand and address their analytical needs.


Identify, extract, and integrate datasets of varying sizes, from spreadsheets to big data; prepare and clean data for advanced analyses.
Utilize sophisticated analytics, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations.
Develop structured, documented, and version-controlled code, collaborating with Machine Learning Engineers to deploy models effectively.
Mentor and support junior Data Scientists in their professional development.
Contribute to the strategic vision for shaping the future of the Data Science team.

About you

Strong experience and skills in Python


Solid understanding of SQL
Experience with cloud-based technologies is preferred (Azure) 
Proficient in machine learning tools and techniques
Proven experience in leading projects
Excellent communication skills with the ability to engage effectively with business stakeholders
Ability to translate technical concepts into business language
Intellectually curious and eager to learn
Collaborative team player who thrives in a team environment

What you'll get

A competitive salary between £65,000 – £80,000 – dependent on capability

As well as your base salary, you will receive a bonus of up to 30% of your salary for stretch 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 15th July. 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.

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.

#LI-AZ1 #LI-HYBRID 

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