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

Apply Now

2026 Graduate Digital and Data Analyst, Infrastructure Delivery - Warwick

targetjobs UK
Warwick
2 days ago
Create job alert
2026 Graduate Digital and Data Analyst, Infrastructure Delivery - Warwick

Be among the first 25 applicants


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.


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.


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.

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. 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 our IT & Digital pathway you’ll develop your IT technical skills including AGILE and Scrum. You’ll also gain important insights in engineering and electricity to broaden your understanding of our business and industry. You will complete three 6‑month placements across the UK, designed to deepen your understanding of your speciality and 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.


Location

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


What You’ll Get In Return

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


Benefits

  • £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, Adaptable Benefits, close mentorship and regular feedback & volunteering opportunities.

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.


Assessment Centres

Assessment centres will be held between November – April 2026.


Legal Right to Work

You must have the legal right to work in the UK by the start of your employment.


EEO 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 unique differences people 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 where and when needed. All employment is decided on the basis of qualifications, the innovation that comes with having diverse teams and business need.


#J-18808-Ljbffr

Related Jobs

View all jobs

2026 Graduate Digital and Data Analyst, Infrastructure Delivery

2026 Digital and Data Analyst Industrial Placement - Warwick

2026 Digital and Data Analyst Industrial Placement

2026 Graduate Data Engineer, Customer Network Development - Warwick

2026 Graduate Data Engineer, Customer Network Development

2026 Actuarial & Consulting - Graduate Business Data Analyst - Leeds

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.