Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to transform data into actionable insights for a sustainable energy future.
- Company: Join National Grid, a leader in energy transition and innovation.
- Benefits: Competitive salary, bonus potential, flexible working, and generous pension scheme.
- Why this job: Make a real impact on the energy sector while developing your Data Science skills.
- Qualifications: Experience in Data Science, team leadership, and strong communication skills required.
- Other info: Dynamic work environment with opportunities for growth and continuous learning.
The predicted salary is between 54000 - 72000 £ per year.
About Us
At National Grid, we light up the world by harnessing the unique strengths of our people. Join us as a Lead Data Scientist to be part of a team that's driving forward the energy transition, creating a brighter, more sustainable future for all. Unleash your superpower and bring energy to life. National Grid is hiring a Lead Data Scientist - This position is based from our Warwick office however we offer flexible hybrid working options.
Job Purpose
Join us as a Lead Data Scientist, where you'll be at the forefront of transforming intricate operational and planning challenges within ET and NOI into tangible business success! In this dynamic role, you'll collaborate with ET operational leaders, portfolio managers, planners, engineering teams, and product lines to identify high-impact problems. By leveraging cutting-edge predictive, optimisation, and automation techniques, you'll drive significant improvements in outcomes. Your ability to turn vague business pain points into structured analytical opportunities will be key. You'll craft clear hypotheses, define data requirements, and develop compelling value cases that resonate across the organisation. As you tackle complex operational and strategic questions, you'll create structured analytical frameworks that lead to actionable insights. Your focus on success metrics and value cases will ensure that your work delivers real results. You'll not only develop models that provide actionable outputs but also establish robust feedback loops to continuously monitor model performance and the business impact achieved. Embrace the challenge and make a difference in our organisation!
What You’ll Do
- Strategic Alignment & Opportunity Identification: Translate ET and NOI strategic priorities into a focused Data Science agenda. Identify, assess and prioritise high-value opportunities where analytics, optimisation, or automation can materially improve performance. Engage business leaders, operational teams, planners, and product lines to surface pain points and turn them into structured analytical problems with hypotheses and measurable value. Connect with programmes and initiatives across ET to ensure alignment, avoid duplication, and embed Data Science where it delivers the most value.
- Data Science Roadmap Ownership: Develop and maintain a coordinated Data Science roadmap aligned to ET’s strategic objectives. Prioritise opportunities based on business value, feasibility, and strategic impact. Ensure transparent sequencing, governance, and communication of roadmap progress, risks, and dependencies. Track realised business value and embed feedback loops to monitor model performance and adoption.
- Delivery Oversight & Model Lifecycle Management: Lead delivery of roadmap initiatives from exploration through to PoC, pilot, and production deployment. Manage delivery of proof-of-concepts and oversee the transition of successful models into operational use. Oversee the ongoing support, refinement, and optimisation of existing Data Science assets. Set and maintain high standards of analytical rigour, documentation, reproducibility, and model robustness.
- Stakeholder Engagement & Communication: Build strong relationships across ET to understand evolving needs and influence where Data Science can drive value. Communicate analytical findings, model outputs, and value in accessible, business-focused language. Educate stakeholders on the capabilities and limitations of Data Science, promoting informed decision making and realistic expectations.
- Team Leadership & Capability Building: Build, lead, and develop a high-performing Data Science team. Hire, coach, and retain talented Data Scientists with a mix of technical and business-facing skills. Provide technical leadership, mentorship, and development pathways for team members. Foster a culture of curiosity, innovation, continuous learning, and excellence in analytical practice. Maintain awareness of the wider Data Science landscape and bring best practices, tools, and methodologies into ET’s capability.
About You
- Significant experience using Data Science to deliver tangible benefits for organisations.
- A good understanding of the evolving ML/AI technology landscape and recent advances/best practice.
- Experience hiring, coaching and leading a team.
- Experience operating at all levels of an organisation, with a focus on influencing, capturing opportunities and requirements, and explaining analytics to non-technical stakeholders.
- Experience developing and implementing a data/analytics strategy within an organisation.
- Experience of project management frameworks and their implementation (preferably an Agile methodology).
- Experience delivering both proof of concepts and production Data Science models.
- Fluency in Python and common Data Science packages, (e.g. pandas, scikit-learn) tools for lightweight app creation (e.g. streamlit/Flask) and visualisation frameworks (e.g. matplotlib/seaborn/plotly).
- Experience with good software development practices and standard tools (e.g. Git).
- Experience quality assuring, testing and troubleshooting code and models.
- Experience coaching and developing technical skills in others.
What You’ll Get
A competitive salary between £63,000 - £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
This role closes at midnight on 2nd February 2026; however, we encourage candidates to submit their application as early as possible and not wait until the published closing date as this can vary. National Grid Electricity Transmission (NGET) is at the heart of energy in the UK. The electricity we provide gets the nation to work, powers schools and brings energy to life. Our energy network connects the nation, so it’s essential that it’s continually evolving, advancing and improving. In NGET we are passionate about both operating our network safely and providing highly reliable quality of supply for our customers. At the heart of achieving these outcomes is the effective control and operation of our network.
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.
Lead Data Scientist in England employer: National Grid
Contact Detail:
National Grid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees at National Grid on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by diving deep into their projects and values. Show how your skills align with their mission of driving the energy transition. We want to see that passion!
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of how you've tackled complex data challenges in the past. Make it relatable and impactful—this is your chance to shine!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your enthusiasm for the role can leave a lasting impression. We love seeing candidates who are proactive!
We think you need these skills to ace Lead Data Scientist in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight how your experience aligns with the Lead Data Scientist role. Use keywords from the job description to show that you understand what we're looking for.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used data science techniques to solve real-world problems. This will help us see your potential impact on our team.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and make sure your points are easy to understand. Remember, we want to see your analytical thinking in action!
Apply Through Our Website: For the best chance of success, apply directly through our website. This ensures your application gets to the right people and shows you're serious about joining our team at National Grid.
How to prepare for a job interview at National Grid
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in Python and the tools mentioned in the job description. Be ready to discuss how you've used predictive modelling and optimisation techniques in past projects, as this will show your practical experience.
✨Understand the Business Context
Before the interview, take some time to research National Grid and its role in the energy sector. Understand their strategic priorities and think about how your skills can help address their operational challenges. This will help you align your answers with their needs.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or case studies related to data science. Practice structuring your thought process clearly, outlining your hypotheses, data requirements, and potential outcomes. This will demonstrate your analytical thinking and problem-solving abilities.
✨Showcase Your Leadership Skills
As a Lead Data Scientist, you'll need to lead a team. Be prepared to discuss your experience in hiring, coaching, and developing talent. Share specific examples of how you've built high-performing teams and fostered a culture of innovation and continuous learning.
