Data Analytics and AI Lead

RES; Glasgow; On-site; GBP 90,000 - 125,000; Full time

Job summary

RES is building a global, cloud-first data and AI capability. We seek a Data Analytics and AI Lead to own analytics and AI product delivery, turning data into trusted, governed insights for senior leaders.

You will develop models, write Python and SQL, apply ML and generative AI to business questions, and deliver automation on modern cloud platforms. 10+ years of hands-on analytics experience is required.

Qualifications

• Degree in data science, data analytics, computer science.
• Hands-on experience delivering extensive reporting, modelling and analytics across complex data domains.
• 10+ years' experience as a technical analyst delivering analytics and AI solutions with impact.
• Strong Python, modelling and SQL skills.
• Proven experience delivering semantic and dimensional data models.
• Extensive experience with the Microsoft Azure platform for reporting, data development and analytics.
• Experience applying ML and/or generative AI tools to business problems.
• Knowledge of data governance, quality, and responsible AI principles.
• Experience translating complex data to executives and leading working groups.

Responsibilities

• Deliver reporting, data modelling and advanced analytics across complex business domains.
• Apply machine learning to real business problems: predictive modelling, classification, segmentation, anomaly detection, forecasting.
• Use LLMs and generative AI to build analytical tools and AI-enabled insights, including prompt engineering and RAG.
• Translate findings into clear, business-ready insights for senior audiences.
• Develop comprehensive semantic data models and BI solutions for AI consumption.
• Deliver automation opportunities using Power Platform, Power Automate, or equivalents.
• Use Python and SQL to clean, model, and analyse data and provide governed self-service analytics.
• Lead UAT and business validation for analytics outputs and AI products.
• Collaborate with stakeholders to shape analytical approaches and present to executives.

Skills

Python

SQL

Data modelling

Machine learning

Generative AI

LLMs

Power Platform

Power BI

Azure

Governance

Stakeholder management

Education

Degree in data science, data analytics, computer science

Tools

Azure

Fabric

Synapse

Power BI

Job description

Description

Data Analytics and AI 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 data and AI capability and looking for someone who genuinely loves working with data, machine learning, and generative AI to solve hard business problems. If you want your analytical work to drive real decisions — within a company that's changing the world — this is the role.

The Role

You'll own the delivery of analytics and AI products at RES — turning complex data into trusted, governed insight consumed by senior leaders and decision-makers across the business.

This is a hands‑on technical role with 10+ years of experience required. You'll build models, write Python and SQL, apply LLMs and machine learning to business questions, and deliver automation that cuts manual effort and unlocks new insight. You'll focus your energy on analysis, AI application, and insight delivery — working with modern cloud platforms and pre-built data infrastructure rather than building pipelines from scratch.

Everything you deliver will be accurate, explainable, and appropriately governed.

What You’ll Do

• Deliver reporting, data modelling and advanced analytics across complex business domains — defining, validating, and owning the definitions, metrics and models that drive decisions.


• Apply machine learning to real business problems: predictive modelling, classification, segmentation, anomaly detection, and forecasting.


• Use LLMs and generative AI to build analytical tools, AI‑assisted insight products, and intelligent automation — including prompt engineering and retrieval‑augmented generation (RAG). Validate all AI and model outputs for accuracy, bias, and reliability before they reach stakeholders.


• Translate reporting and analytical findings into clear, business‑ready insight for senior and executive audiences.


• Develop comprehensive semantic data models and business intelligence solutions and quality data for consumption by AI tools.


• Identify and deliver automation opportunities using tools such as Power Platform, Power Automate, or equivalent — reducing manual effort and improving data‑driven workflows.


• Use Python and SQL to clean, model, and analyse data; deliver self‑service analytics through governed semantic models and reporting layers.


• Lead UAT and business validation for analytics outputs and AI products.


• Work closely with business stakeholders to understand problems, shape analytical approaches, and land insight in a way that drives action. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills.


• Support teams in moving from manual reporting to governed, AI‑enabled analytics.

What You’ll Bring

• Semantic and dimensional data modelling — design comprehensive models from different source systems using state of the art modelling techniques, Kimbal, star schema and modern modelling tooling and automation of modelling.


• Data visualisation — ability to design clear, accurate, executive‑ready outputs using tools such as Power BI or equivalent.


• Python and SQL — strong, hands‑on proficiency for data analysis, modelling, and scripting.


• Machine learning — knowledge in building and applying supervised and unsupervised models to real business problems.


• Generative AI and LLMs — prompt engineering, RAG, and applied use of LLM tooling in an analytical context.


• Automation tooling — experience with platforms such as Power Platform, Power Automate, or equivalent.


• Responsible AI — experience applying fairness, explainability, and governance principles to analytical products.


• Stakeholder communication, business requirements and leadership — working with senior stakeholders to translate complex data into clear and prioritised requirements and products that drive business decisions. Lead working groups and present to executive stakeholders with strong negotiating and influencing skills.

Your Background

Essential

• Degree in data science, data analytics, computer science.


• Hands‑on experience deliver extensive reporting, modelling and advanced analytics work across complex and diverse data domains and multiple source systems at enterprise level.


• 10+ years' experience as a technical analyst, delivering advanced analytics and AI solutions with measurable business impact.


• Strong Python, modelling and SQL skills applied in an analytical context.


• Proven experience delivering comprehensive semantic and dimensional data models.


• Extensive experience with the Microsoft Azure platform for reporting, data development and analytics.


• Proven experience applying machine learning and/or generative AI tools to business problems.


• Strong understanding of data governance, quality, and responsible AI principles.


• Track record of working with senior stakeholders to translate complex data into clear and prioritised requirements and products that drive business decisions. Able to chair working groups and regularly present to senior executive stakeholders with strong negotiating and influencing skills.


• Experience with automation and analytics tooling — for example Power Platform, Power Automate, or equivalent.


• Direct experience working with cloud data platforms, specifically Microsoft Azure/Fabric.


• Relevant certifications in AI/ML, Power BI or Microsoft Azure is desirable.


• Experience working across multiple business domains or in a centre of excellence / shared analytics function.


• Knowledge of data science and machine learning is essential. Extensive experience is desirable.

Why RES?

• A genuinely global data platform with real complexity and ambition behind it.


• A modern, cloud‑first stack — Azure, Fabric, Synapse, and active investment in AI tooling.


• Work that matters — your analysis will inform strategic decisions in a company actively fighting climate change.


• A modern, cloud‑first analytics stack with genuine investment in AI tooling.


• A collaborative, growing data function with real scope to shape how analytics and AI evolves at RES.


• Join a brand new, agile, global data and analytics team at the heart of AI, innovation, Next Gen technology and driving innovation for competitive advantage for RES.


• You will have a diverse portfolio and be able to lead on many types of work, honing and developing strong skills in Artificial Intelligence to shape your future career at the forefront of the latest technologies.


• A collaborative, cross‑functional data function with architecture, AI, science, analytics, and engineering working closely together.


• 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.