2026 Graduate Digital and Data Analyst, Infrastructure Delivery

National Grid
Warwick
4 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Analyst

Data Analyst Training Course (Excel, SQL & Power BI)

Big Data Science & Analytics Intern - Tesco

Big Data Science & Analytics Intern

Applied Machine Learning Intern - Tesco

Data Science Product Intern (PhD Level) - Tesco

About us

National Grid is at the heart of the UK energy network keeping people connected and society moving. We develop, own and maintain the physical infrastructure, such as pylons and cables needed to move the electricity generated from windfarms and power sources around the country. Every time a phone is plugged in, or a switch is turned on, we've played a part, connecting you to the electricity you need - and we're leading the transformation towards a greener future, dreaming bigger to bring a more affordable energy future to everyone.


But it's our people that provide our true superpower. They drive and sustain our growth, their unique differences only making us stronger. But it's no small feat and we need the best to join us in our mission. So, join us and power the future of energy.


About The Role

Infrastructure Delivery at National Grid is responsible for executing major projects that strengthen and expand the UK's energy network. This includes delivering critical infrastructure-such as substations and transmission lines-that ensures the safe, efficient, and reliable distribution of electricity and gas across the country.


As a Graduate Digital and Data Analyst, you'll be at the heart of our digital transformation, helping to unlock the power of data to improve project delivery and operational efficiency. You'll support initiatives like the Great Grid Upgrade, which is central to National Grid's mission to connect more clean, low‑carbon power to homes and businesses across England and Wales.


In this role, you'll work closely with project managers, engineers, and other stakeholders to understand their data needs and develop digital solutions that drive smarter decision‑making. From building dashboards and automating workflows to analysing performance metrics and exploring emerging technologies, you'll help shape the future of infrastructure delivery through innovation and insight.


What You'll Be Doing



  • Collecting, managing, and analysing data to support infrastructure project planning and delivery.
  • Developing digital tools and platforms to improve project management, reporting, and data visualisation.
  • Automating workflows to reduce manual tasks and enhance productivity.
  • Collaborating with cross‑functional teams to understand data requirements and deliver tailored solutions.
  • Creating dashboards and performance metrics to provide real‑time insights into project progress, costs, and resource utilisation.
  • Identifying opportunities to apply new technologies and methodologies to improve project outcomes.
  • Ensuring data integrity and compliance with relevant regulations and standards.
  • Supporting a data‑driven culture across Infrastructure Delivery by promoting best practices in digital innovation.

Our Graduate Programme

As you'll be joining our 18‑month graduate programme, you'll have a tailored development pathway to support you as you develop a wide range of leadership, business, and technical skills. You'll attend in‑person and virtual development sessions throughout your programme to equip you with the essential skills required, as you begin your career at National Grid. We're committed to the personal development of our colleagues so as well as the support from your line manager as you navigate your new role, you'll also have access to 121 coaching and a mentor, from a previous cohort to help you transition from campus to corporate life.


All graduates complete the core development programme to develop key skills such as how to make an impact, giving feedback and presentation skills. Aligned to this role is our Engineering pathway and as part of this you'll develop further key technical skills aligned to your role as well as important learning modules such as working safely. If relevant to your career aspirations, you will be able to access Institution of Engineering and Technology (IET) membership and seek support from a National Grid IET mentor to help you secure your chartership.


We believe in the importance of getting as much on‑the‑job experience as possible and to do this, you will complete three 6‑month placements, across the UK, designed to deepen your understanding of your speciality but to also broaden your knowledge of our business. At the end of your 18‑month programme you'll return to your initial placement area to kickstart your superpowered career.


What you'll need to apply

You'll need to achieve, or be working towards, a minimum 2:2 degree in Data Science, Computer Science, Information Technology, Mathematics or Statistics . It doesn't matter when you graduated or if you are currently working towards your qualification. We just need you to be eager to apply your knowledge in a real‑world setting.


Location

This role is based in Warwick and may offer flexible hybrid working, where possible.


What You'll Get In Return

We are proud to offer a graduate starting salary of £36,640


Not only will you receive a tailored development programme to progress a superpowered career at National Grid, we also offer some great rewards and benefits too:



  • £2,000 bonus, once joined and started on programme
  • 26 days holiday
  • £2,400 payment on successful completion of the programme
  • Up to £200 per month accommodation allowance as you move around the business, and additional annual leave for when you move between placements plus assistance with moving personal belongings
  • Other benefits include pension and share‑option schemes, Flexible Benefits, close mentorship and regular feedback & volunteering opportunities.

More Information

You can only apply for one graduate opportunity during this recruitment cycle. We kindly ask that you review all our graduate opportunities and apply for the one that aligns closest with your aspirations and interests.


We recruit on a rolling basis and reserve the right to close our vacancies once we have enough applications/based on volume of applications. We encourage you to apply as early as possible to ensure you obtain the place you want in the application process.


Assessment centres will be held between November - April 2026


National Grid's Graduate & Student opportunities in the UK are open to all applicants who meet the eligibility criteria including an existing and valid right to work in the UK. As part of the application process this will need to be evidenced and verified before you can start the programme.


Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points‑based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points‑based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.


Please be aware that it's your responsibility to explore avenues of working in the UK, as we're not able to provide advice on this. For information about visas please visit https://www.gov.uk/browse/visas-immigration/work-visas


At National Grid, it's our people that provide our true superpower. They drive and sustain our growth, their unique differences only making us stronger, so we pride ourselves on placing diversity, equity and inclusion at the heart of who we are and what we do and are committed to building a workforce of the future which represents the communities we serve. We welcome and encourage applicants with diverse experiences and backgrounds, and offer flexible and tailored support, at home and in the office where and when needed. All our offers are based on the right to work in the UK, qualifications, the innovation from creating diverse teams and perspectives, as well as business need.


#Graduateopportunities2026


#J-18808-Ljbffr

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.