People & Culture Data, Analytics and AI Technical Lead
Do you want to work to make Power for Good?
We're the world's largest independent renewable energy company, guided by a simple yet powerful vision to create a future where everyone has access to affordable, zero carbon energy.
We know that achieving our ambitions would be impossible without our people. Because we're tackling some of the world's toughest problems, we need the very best people to help us. They're our most important asset so that's why we continually invest in them.
RES is a family with a diverse workforce, and we are dedicated to the personal and professional growth of our people, no matter what stage of their careers they're at. We can promise you rewarding work which makes a real impact, the chance to learn from inspiring colleagues from across a growing, global network and opportunities to grow personally and professionally.
Our competitive package offers a wide range of benefits and rewards.
The Role
We're growing our People & Culture data and analytics capability and looking for a lead for this work, someone who loves working with data and AI to answer hard questions about people and organisations. If you want your analytical work to have real business impact — within a company that's changing the world — this is the role for you.
You'll own the delivery of P&C data, reporting, analytics and AI products at RES — turning complex workforce data into trusted, governed insight consumed by P&C leaders, the Executive Committee, and the Board.
This is a hands-on analytical role. You'll build models, write Python and SQL, apply LLMs and machine learning to workforce questions, and deliver automation that reduces manual effort across P&C. You'll work with a modern Azure platform, focusing your energy on working with stakeholders to define and prioritise use cases and business requirements, then deliver quality data, reports, modelling and analytics.
You will handle sensitive employee data, implementing privacy controls, and ensuring the data is used ethically.
What You'll Do
Analytics & AI
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Deliver workforce data and analytics across headcount, attrition, absence, recruitment, diversity, and workforce planning — defining, validating, and owning metrics.
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Apply machine learning and AI to P&C use cases: i.e. attrition prediction, workforce segmentation, flight risk modelling, and talent insights.
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Use LLMs and generative AI to build analytical tools and AI-assisted insight — designing prompts, applying RAG approaches, and ensuring outputs are accurate, fair, and explainable.
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Validate all AI-generated outputs for accuracy, bias, and sensitivity.
Data Automation and Reporting
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Build automation workflows using tools such as Power Platform, Power Automate, and Dataverse — or equivalent — to reduce manual effort across P&C processes.
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Use Microsoft Azure/Fabric to clean, model, and analyse workforce data and deliver self-service data, reporting and analytics through developing governed semantic data models, AI and business Intelligence tools..
Governance & Responsible AI
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Apply data classification, access controls, and privacy standards to P&C analytical outputs.
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Ensure AI tools operate only on approved, appropriately scoped data; embed responsible AI principles in everything you deliver.
Stakeholder Delivery
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Lead business requirements, use case development, UAT and business validation for P&C data, reporting and analytics outputs and AI products.
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Support P&C stakeholders in moving from manual reporting to governed, AI-enabled analytics — translating technical outputs into clear business insight.
What You'll Bring
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Semantic Data Modelling, Python and SQL — comfortable using both for data analysis, modelling, and automation.
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Machine learning — understanding of applying supervised and unsupervised methods to analytical problems.
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Generative AI and LLMs — prompt engineering, applied use of LLM tools, and an understanding of responsible AI in a sensitive data context.
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Automation tooling — knowledge and experience with platforms such as Power Platform, Power Automate, or Dataverse to reduce manual effort across business processes.
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Data modelling and visualisation — ability to design clear, executive-ready data models and visualisations outputs using Microsoft Azure/Fabric, modelling tools and Power BI or equivalent.
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Workforce analytics — understanding of core P&C metrics and how to interpret people data meaningfully.
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Responsible AI — experience applying fairness, explainability, and privacy principles in an analytical context.
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Stakeholder communication — confident driving requirements and use cases. leading workshops with senior executives and presenting at forums. Able to translate technical findings into plain language for non-technical audiences.
Your Background
Essential
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Degree in data science, data analytics, or a related field — or equivalent hands-on experience.
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Proven analytical experience delivering actionable reporting, modelling, quality data and insight from complex datasets with measurable business impact.
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Practical Python, semantic data modelling and SQL skills used in an analytical context.
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Experience building products using Microsoft Azure/Fabric from business requirements to modelling, data quality improvements, data standardisation and reporting/consumption for AI.
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Experience applying AI/ML models and/or generative AI tools and data science to real business problems.
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Solid understanding of data privacy, sensitivity, and responsible AI principles.
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Experience working with business stakeholders to define requirements, negotiate and influence and prioritise work, then jointly deliver quality products and translate analytical outputs into decisions.
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Experience with Microsoft Azure/Fabric and automation/analytics tooling — Power BI, Power Platform, Power Automate.
Desirable
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Experience with HR or workforce platforms such as Workday, SAP SuccessFactors, or equivalent.
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Relevant certifications in AI/ML, Power BI, Microsoft Azure, or data privacy.
Why RES?
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Work that matters — your analysis will inform decisions at ExCo and Board level in a company actively fighting climate change.
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A modern, cloud-first analytics stack with genuine investment in AI tooling.
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A collaborative, growing data function with real scope to shape how P&C analytics evolves at RES.
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Competitive salary, benefits, and commitment to your professional development.
At RES, we celebrate differences as we know it makes our company a great place to work. Encouraging applicants with different backgrounds, ideas and points of view, we create teams who work together to solve complex problems and design practical solutions for our clients. Our multiple perspectives come from many sources including the diverse ethnicity, culture, gender, nationality, age, sex, sexual orientation, gender identity and expression, disability, marital status, parental status, education, social background and life experience of our people.
