People & Culture Data Analytics and AI Lead

Description P&C Data Analytics and AI Technical Lead

Description P&C Data Analytics and AI Technical Lead
Make Power for Good
RES is the world's largest independent renewable energy company. Our mission is simple: a future where everyone has access to affordable, zero-carbon energy. The problems we’re solving are among the most important of our generation — and the people working on them are extraordinary.
We’re growing our People & Culture data capability and looking for someone who genuinely 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 is changing the world — this is the role.

You'll own the delivery of P&C 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 cuts manual effort across P&C. You'll work with pre-built data pipelines and a modern Azure platform, focusing your energy on insight, analysis, and AI application — not infrastructure. Everything you build will handle sensitive employee data with the rigour, privacy controls, and ethical care it demands.

• Deliver workforce analytics across headcount, attrition, absence, recruitment, diversity, and workforce planning — defining, validating, and owning the metrics that matter.
• Apply machine learning to P&C use cases: attrition prediction, workforce segmentation, flight risk modelling, and talent insights.
• 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.
• Validate all AI‑generated outputs for accuracy, bias, and sensitivity before they reach business stakeholders.

• Build automation workflows using tools such as Power Platform, Power Automate, and Dataverse — or equivalent — to reduce manual effort across P&C processes.
• Use Python and SQL to clean, model, and analyse workforce data; deliver self‑service analytics through governed semantic models.

• Apply data classification, access controls, and privacy standards to all P&C analytical outputs.
• Ensure AI tools operate only on approved, appropriately scoped data; embed responsible AI principles in everything you deliver.

• Lead UAT and business validation for P&C analytics outputs and AI products.
• Support P&C stakeholders in moving from manual reporting to governed, AI-enabled analytics — translating technical outputs into clear business insight.

• Python and SQL — comfortable using both for data analysis, modelling, and automation scripting.
• Machine learning — practical experience applying supervised and unsupervised methods to real analytical problems.
• Generative AI and LLMs — prompt engineering, applied use of LLM tools, and an understanding of responsible AI in a sensitive data context.
• Automation tooling — experience with platforms such as Power Platform, Power Automate, or Dataverse to reduce manual effort across business processes.
• Data visualisation — ability to design clear, executive-ready outputs using tools such as Power BI or equivalent.
• Workforce analytics — understanding of core P&C metrics and how to interpret people data meaningfully.
• Responsible AI — experience applying fairness, explainability, and privacy principles in an analytical context.
• Stakeholder communication — confident translating technical findings into plain language for non-technical audiences.

• Degree in data science, data analytics, statistics, or a related field — or equivalent hands‑on experience.
• Proven analytical experience delivering actionable insight from complex datasets with measurable business impact.
• Practical Python and SQL skills used in an analytical context.
• Experience applying ML models and/or generative AI tools to real business problems.
• Solid understanding of data…