Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Scientist, Data Science

National Grid
Warwick
1 week ago
Create job alert
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 Lead 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 Lead Data Scientist on a permanent basis. The location for this role can be based in Warwick - We offer a hybrid working model.


About The Role

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



  • Location: Warwick
  • Closing Date: 5th November

#LI-NH2


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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Scientist

Lead/Senior Data Scientist

Lead Data Scientist | Health

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.