Data Scientist

Wood Mackenzie is the global data and analytics business for the renewables energy and natural resources industries. Enhanced by technology. Enriched by human an ever-changing world companies and governments need reliable and actionable insight to lead the transition to a sustainable future. Thats why we cover the entire supply chain with unparalleled breadth and depth backed by over 50 years experience. Our team of over 2400 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 Brand VideoWood Mackenzie ValuesInclusive we succeed togetherTrusting we choose to trust each otherCustomer committed we put customers at the heart of our decisionsFuture Focused we accelerate changeCurious we turn knowledge into actionJob DescriptionWere working on a next generation data analysis & visualisation platform that enables our customers to drive billion-dollar decisions and accelerate the worlds transition to a more sustainable tomorrow. Were 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. Youll collaborate closely with a cross-functional team of data scientists engineers and product managers to help deliver our product roadmap. Youll 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 modelsApply cutting-edge Machine Learning techniques to solve complex modelling challenges in the energy sectorLeverage Generative AI capabilities including LLM post-training to develop innovative solutions for energy-related challengesCollaborate with product engineering and domain teams to understand user requirements and develop innovative production-ready AI solutions aligned with strategic objectivesSupport the delivery of analytical components from concept to deployment working closely with other team members to validate approaches and ensure quality outcomesWrite maintainable testable and optimised code and contribute to the continuous improvement of our data science practicesParticipate in peer reviews knowledge sharing sessions and technical discussions while continuously developing your own skills and knowledge and receiving mentorship from senior colleaguesAbout YouEssential:You have successfully applied Machine Learning and Generative AI techniques in real-world projects delivering innovative products to marketYou 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 environmentsYou possess strong analytical skills demonstrate attention to detail and excel at transforming data into actionable insightsYou have experience with version control systems agile methodologies and collaborative development environmentsYou communicate effectively with both technical and non-technical stakeholders and thrive in collaborative cross-functional environmentsYou demonstrate intellectual curiosity embrace continuous learning and are passionate about advancing your expertise in data science and AIYou excel in collaborative team environments while taking full ownership of your deliverablesDesirable: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 forecastingLLM Specialisation: Hands-on experience with modern LLM training techniques including fine-tuning RLHF parameter-efficient methods (LoRA/QLoRA) or custom post-training workflowsMLOps experience: Knowledge and familiarity with MLOps frameworks and tools such as Sagemaker Kedro MLflow or Weights and BiasesEnergy Domain Knowledge: Background in power systems energy dispatch optimisation grid modelling or other energy sector applications where AI/ML drives operational decisionsOur Tech StackWe use a wide variety of tools and technologies across our products. For this role were looking for skills across the following:Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG LangChain TensorFlow and PyTorchPractical 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 NotebooksKnowledge of ML-adjacent technologies including AWS SageMaker Kedro and MLflow.Strong skills in data preprocessing wrangling and augmentation techniquesExperience deploying scalable AI solutions on cloud platforms (AWS Google Cloud or Azure) with enthusiasm for MLOps tools and practicesProficiency with version control systems including Git and GitHubOther Technologies You Might EncounterOur services are deployed to AWS typically using Bedrock Lambda ECS and Kubernetes with CloudFormation Terraform and CDK for infrastructure configurationOur web products are developed using TypeScript React and ReduxWe implement GraphQL and RESTful APIs using NodeJS and PythonOur backend services are implemented in C# / .NET or Typescript / NodeJSDynamoDB Redshift Postgres Opensearch and S3 are our go to data storesWe run our ETL data pipelines using PythonEqual OpportunitiesWe 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. Key Skills Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills Employment Type : Full-Time Experience: years Vacancy: 1