Data Scientist in Edinburgh

Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That\'s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years\' experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers\' decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most. Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Job Description We\'re working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the world\'s transition to a more sustainable tomorrow. We\'re looking for a Data Scientist II to join our team.This role will be working within our AI group and focus on the research, development and delivery of AI solutions across our product suite. You\'ll collaborate closely with a cross-functional team of data scientists, engineers, and product managers to help deliver our product roadmap. You\'ll apply advanced AI techniques and ensure high standards of data quality and integrity in our solutions.The successful candidate for this role must have a strong Data Science background and understand the challenges of delivering data products with a commitment to incremental delivery. Proven experience of data science projects, and the ability to articulate ideas effectively across multiple business areas is essential. As one of our Data Scientists, you will: Design, develop, and evaluate AI and Machine Learning models Apply cutting-edge Machine Learning techniques to solve complex modelling challenges in the energy sector Leverage Generative AI capabilities, including LLM post-training, to develop innovative solutions for energy-related challenges Collaborate with product, engineering, and domain teams to understand user requirements and develop innovative, production-ready AI solutions aligned with strategic objectives Support the delivery of analytical components from concept to deployment, working closely with other team members to validate approaches and ensure quality outcomes Write maintainable, testable, and optimised code, and contribute to the continuous improvement of our data science practices Participate in peer reviews, knowledge sharing sessions, and technical discussions, while continuously developing your own skills and knowledge, and receiving mentorship from senior colleagues About You Essential: You have successfully applied Machine Learning and Generative AI techniques in real-world projects, delivering innovative products to market You hold a degree in a technical or quantitative field (e.g., AI, computer science, engineering, mathematics, physics, or related discipline) with proven professional experience applying data science in commercial or research environments You possess strong analytical skills, demonstrate attention to detail, and excel at transforming data into actionable insights You have experience with version control systems, agile methodologies, and collaborative development environments You communicate effectively with both technical and non-technical stakeholders and thrive in collaborative, cross-functional environments You demonstrate intellectual curiosity, embrace continuous learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Desirable: Advanced ML Architectures : Experience with implementing specialised neural networks such as Graph Neural Networks (GNN) for modelling complex relationships, Physics-Informed Neural Networks (PINN) for incorporating domain knowledge, or Temporal Fusion Transformers (TFT) for advanced and interpretable forecasting LLM Specialisation : Hands-on experience with modern LLM training techniques including fine-tuning, RLHF, parameter-efficient methods (LoRA/QLoRA), or custom post-training workflows MLOps experience : Knowledge and familiarity with MLOps frameworks and tools such as Sagemaker, Kedro, MLflow or Weights and Biases Energy Domain Knowledge: Background in power systems, energy dispatch optimisation, grid modelling, or other energy sector applications where AI/ML drives operational decisions Our Tech Stack We use a wide variety of tools and technologies across our products. For this role, we\'re looking for skills across the following: Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker, Kedro and MLflow. Strong skills in data preprocessing, wrangling, and augmentation techniques Experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, or Azure) with enthusiasm for MLOps tools and practices Proficiency with version control systems including Git and GitHub Other Technologies You Might Encounter Our services are deployed to AWS, typically using Bedrock, Lambda, ECS and Kubernetes with CloudFormation, Terraform and CDK for infrastructure configuration Our web products are developed using TypeScript, React, and Redux We implement GraphQL and RESTful APIs using NodeJS and Python Our backend services are implemented in C# / .NET or Typescript / NodeJS DynamoDB, Redshift, Postgres, Opensearch, and S3 are our go to data stores We run our ETL data pipelines using Python Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.