Senior Data Scientist

modelling, data science and engineering teams and reporting to the head of Applied AI. You will drive revenue growth by expanding our capabilities, assets and end-to-end AI solutions. Responsibilities will include: Build machine learning and forecasting models supporting cross-commodity scenario analysis, energy transition planning, and strategic investment decision making Work closely with embedded SMEs to encode domain knowledge into machine-readable structures that enable causal reasoning across global energy systems Conduct exploratory analysis across large-scale, high-dimensional datasets spanning commodities, assets, infrastructure, and markets Collaborate with engineers to design and implement scalable data pipelines and model deployment workflows Support consulting engagements by developing analytical models, running simulations, and generating insight-rich deliverables Work with product and research teams to validate models with early users and iteratively improve model performance

Document modelling approaches, contribute to code quality and standards, and participate in internal technical reviews We are a hybrid working company and the successful applicant will be expected to be present in the office at least two days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Key Skills & Experience You will be passionate about solving complex customer problems and bringing great products to market. Essential Skills Strong experience applying machine learning or statistical modelling to real-world datasets Strong experience with Python and ML libraries (e.g., scikit-learn, PyTorch, XGBoost) Experience working with complex, multi-domain or high-dimensional datasets Demonstrated ability to work in cross-functional teams with engineers, analysts, and domain experts Strong
analytical thinking and problem-solving skills Preferred Skills Understanding of energy markets, asset modelling, or related analytical domains Experience in consulting or client-facing analysis is advantageous 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 www.eeoc.gov 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.", "salary_raw": "Row(double=None, string=None)"}

{"description": "Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments. Now, with the world's energy system more complex and interconnected than ever before, sector-specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades