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# Data Scientist (AI & Machine Learning) - Renewable Energy & Emerging Technologies

- **Company:** Uk unlike
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Computing, Data Visualization, Python (Programming Language), Knowledge Management, Machine Learning, NumPy, Quantum GIS (QGIS), Standard Sql, TypeScript, Web Application Frameworks, Rust (Programming Language), Large Language Models, Generative AI, Pandas, Scikit Learn, Xgboost, Plotly, Machine Learning Operations, Data Pipelines
- **Published:** August 19, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/44541832/

## About the Role

interactive dashboards and decision-support platforms using modern Python frameworks and business intelligence tools.Work with engineering teams to apply AI techniques to power systems analysis, curtailment modelling, constraint analysis and renewable energy optimisation.Prototype and deploy AI solutions using cloud technologies and modern MLOps practices where appropriate.Produce clear visualisations and technical insights for planning applications, investment decisions and stakeholder reporting.Continuously evaluate emerging AI technologies and identify opportunities to improve business efficiency through intelligent automation.Skills & ExperienceStrong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib.Experience developing machine learning models for prediction, optimisation or classification.Strong SQL skills and experience working with relational databases.Sound
understanding of statistics, predictive modelling and machine learning techniques.Experience working with geospatial datasets using GeoPandas, QGIS or similar technologies.Ability to work with large and complex datasets and build robust data pipelines.Excellent analytical and problem-solving skills with the ability to communicate technical concepts clearly to non-technical stakeholders.A genuine passion for AI, emerging technologies and continuous learning.Discipline(s): Renewable Energy, Cleantech and SaaSJob type: Permanent

## Description

power systems and infrastructure while applying modern AI and machine learning techniques to real-world challenges.Key ResponsibilitiesDesign and deploy machine learning models to improve site selection, energy yield prediction, revenue forecasting and project optimisation.Develop AI-powered internal applications that automate engineering, development and commercial workflows.Build intelligent geospatial screening tools using machine learning and GIS datasets to identify and rank development opportunities across the UK.Develop predictive models for electricity markets, battery optimisation and project revenues.Explore the use of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI copilots and autonomous agents to improve knowledge management and engineering productivity.Create scalable data pipelines that ingest, clean and integrate large datasets from weather providers, National Grid, Distribution Network Operators (DNOs), planning authorities and internal systems.Build


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