AI and Data Lead

AI and Data Lead

Warrington Full-Time 48000 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data and AI strategy, ensuring data integrity and driving innovation.
  • Company: Join Great British Energy – Nuclear, a key player in the UK's energy future.
  • Benefits: Enjoy a collaborative culture, opportunities for training, and a focus on diversity.
  • Why this job: Make a real impact in energy security while working with cutting-edge technology.
  • Qualifications: Degree in data science or related field; experience in data governance and AI preferred.
  • Other info: Flexible application process available for those with disabilities.

The predicted salary is between 48000 - 72000 £ per year.

Overview

Great British Energy – Nuclear is an arm’s length body of the Department for Energy Security and Net Zero, dedicated to supporting the development and deployment of new nuclear technologies in Great Britain. We play a crucial role in advancing nuclear new build, ensuring the UK’s energy security and achieving net-zero carbon emissions. Great British Energy – Nuclear focuses on fostering innovation, facilitating investment, and coordinating efforts across the nuclear industry to build a resilient and sustainable energy future.

Great British Energy – Nuclear’s first step was to start the technology selection process for Small Modular Reactors (SMRs) in 2023. SMRs can potentially be quicker to deploy and less expensive to build than traditional nuclear power plants because they are smaller, have factory-based modular manufacturing and more flexible deployment options. In June 2025, Great British Energy – Nuclear announced that Rolls-Royce SMR had been selected as the preferred bidder to build the UK’s first SMRs, following a technology selection process that began in 2023.

Great British Energy – Nuclear is aiming to deliver fast, based on a supportive and collaborative culture which values equality and diversity and creates an inclusive workplace. We draw on deep nuclear expertise – our Executive Committee has over 100 years of nuclear experience at home and abroad. GBN-E will unlock billions of pounds of private and public investment from design to operation, helping to get sites ready for development, and working to grow manufacturing capacity and skills capability.

Our activities will be driven by our values, which are:

  • Trust – We prioritise safety, we act responsibly and with integrity.
  • Collaboration – We work as a team; we value diversity and expertise.
  • Challenge – We are curious and courageous in the way we think and act.
  • Care – We are thoughtful, inclusive and respectful of others.
  • Drive – We get things done and we make a difference.

If you have a disability and would prefer to apply in a different format or would like us to make reasonable adjustments to enable you to apply or attend an interview, please contact us at recruitment@greatbritishnuclear.uk and we will talk to you about how we can assist.

Job Profile

To support the Information Management Lead in shaping and delivering the organisation’s data and Artificial Intelligence (AI) strategy. The Data and AI Lead will be responsible for establishing a robust data governance framework, enabling data-driven decision-making, and identifying opportunities to leverage AI and advanced analytics across the organisation. This role will play a critical part in ensuring data integrity, accessibility, and innovation, while aligning with regulatory and ethical standards.

The role holder will lead a small team of data professionals and collaborate closely with digital, engineering, and programme delivery teams to embed data science and AI capabilities into core business processes. They will also act as a subject matter expert on data exploitation, advising senior stakeholders and contributing to both the GBE-N and our project partners digital transformation agenda. GBE-N will maximise the use of AI and novel technologies to enhance our project delivery, aiming to reduce costs and improve efficiency in line with the Government AI playbook. Experience in managing and exploiting asset and engineering data to support project decision making is beneficial but we will consider strong data skills from other complex problem spaces.

Responsibilities

  • Supporting the development and implementation of the enterprise data and AI strategy under the direction of the Information Management Lead
  • Leading the design and implementation of data governance, quality, and lifecycle management practices
  • Identifying and delivering AI and machine learning use cases that drive operational efficiency, safety, and innovation
  • Collaborating with technical and business teams to ensure data is accessible, secure, and fit for purpose
  • Establishing data architecture standards and ensuring alignment with enterprise IT and digital strategies
  • Overseeing the development of data pipelines, models, and human interfaces to support real-time and predictive analytics
  • Ensuring compliance with data protection regulations and ethical AI principles
  • Building internal capability through training, tools, and best practice guidance on data and AI
  • Representing the organisation in cross-government and industry data and AI forums
  • Monitoring emerging technologies and trends to inform strategic planning and innovation

Knowledge, Skills and Experience Required

  • A degree or equivalent qualification in data science, computer science, engineering, or a related field
  • Demonstrable experience in leading data science and AI initiatives within complex, regulated environments
  • Strong understanding of data governance frameworks, data architecture, and AI/ML lifecycle management
  • Experience with cloud platforms (e.g. Azure, AWS), data engineering tools (e.g. Databricks, Snowflake, Foundry), and analytics platforms (e.g. Power BI, Tableau)
  • Knowledge of relevant legislation and standards, including GDPR, ISO 27001, and ethical AI guidelines
  • Proven ability to translate business needs into data and AI solutions with measurable impact
  • Strong communication, stakeholder engagement, and influencing skills
  • Experience in managing multidisciplinary teams and delivering through matrix structures
  • Ability to work in a fast-paced, mission-driven environment with a focus on outcomes and continuous improvement

Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Engineering, or a related discipline
  • Professional certification in data management, AI/ML, or cloud architecture (e.g. CDMP, Azure AI Engineer, AWS Certified Data Analytics) is highly desirable
  • Membership of a relevant professional body (e.g. BCS, IEEE, DAMA, IET) is preferred

AI and Data Lead employer: Great British Energy - Nuclear

Great British Energy – Nuclear is an exceptional employer, offering a collaborative and inclusive work culture that prioritises safety, integrity, and innovation. Employees benefit from opportunities for professional growth within a pioneering organisation dedicated to advancing nuclear technologies, while contributing to the UK's energy security and net-zero goals. Located in a dynamic sector, team members are empowered to leverage cutting-edge AI and data strategies, ensuring their work has a meaningful impact on the future of energy.
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Contact Detail:

Great British Energy - Nuclear Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI and Data Lead

✨Tip Number 1

Familiarise yourself with the latest trends in AI and data governance. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your commitment to staying updated in this rapidly evolving field.

✨Tip Number 2

Network with professionals in the nuclear and energy sectors, especially those involved in data and AI initiatives. Attend industry events or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.

✨Tip Number 3

Prepare to discuss specific examples of how you've successfully led data science projects or implemented AI solutions in previous roles. Highlighting measurable outcomes will showcase your ability to drive operational efficiency and innovation, aligning with the job's responsibilities.

✨Tip Number 4

Research Great British Energy – Nuclear’s values and mission. Tailoring your discussions to reflect their focus on trust, collaboration, and innovation will demonstrate that you're not only a fit for the role but also share their commitment to building a sustainable energy future.

We think you need these skills to ace AI and Data Lead

Data Governance Frameworks
AI and Machine Learning Implementation
Data Architecture Standards
Cloud Platforms (e.g. Azure, AWS)
Data Engineering Tools (e.g. Databricks, Snowflake, Foundry)
Analytics Platforms (e.g. Power BI, Tableau)
GDPR Compliance
ISO 27001 Knowledge
Ethical AI Guidelines
Stakeholder Engagement
Team Leadership in Multidisciplinary Environments
Communication Skills
Problem-Solving Skills
Continuous Improvement Mindset
Ability to Translate Business Needs into Data Solutions

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science and AI initiatives. Focus on your achievements in complex, regulated environments and how they align with the responsibilities of the AI and Data Lead role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for nuclear energy and how your skills can contribute to Great British Energy – Nuclear's mission. Mention specific examples of how you've successfully implemented data governance frameworks or AI solutions in previous roles.

Showcase Relevant Skills: Clearly outline your technical skills related to cloud platforms, data engineering tools, and analytics platforms. Provide examples of how you've used these tools to drive operational efficiency and innovation in past projects.

Highlight Collaboration Experience: Since the role involves working closely with various teams, emphasise your experience in collaborating with technical and business teams. Share instances where you successfully engaged stakeholders and influenced decision-making processes.

How to prepare for a job interview at Great British Energy - Nuclear

✨Understand the Role and Responsibilities

Make sure you thoroughly read the job description and understand the key responsibilities of the AI and Data Lead position. Be prepared to discuss how your experience aligns with their needs, particularly in data governance and AI strategy.

✨Showcase Your Technical Skills

Be ready to demonstrate your knowledge of data science, AI, and relevant tools like Azure or AWS. Prepare examples of past projects where you've successfully implemented data solutions or AI initiatives, highlighting your technical expertise.

✨Emphasise Collaboration and Leadership

Since this role involves leading a team and collaborating with various departments, share experiences that showcase your leadership skills and ability to work in a team. Discuss how you’ve fostered collaboration in previous roles.

✨Prepare for Ethical and Regulatory Discussions

Given the importance of compliance with data protection regulations and ethical AI principles, be prepared to discuss your understanding of GDPR, ISO 27001, and how you ensure ethical considerations in AI projects.

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