Senior Data Scientist
Organisation: Wood Mackenzie
Location: Edinburgh, UK
Application deadline: 24 days remaining
Job Description
The Senior Data Scientist will play a pivotal leadership role in building AI-native capabilities for both Synoptic, Wood Mackenzie’s AI-first innovation unit, and the broader Energy & Natural Resources consulting portfolio. This role will be a core contributor in the development of cross-domain AI systems, knowledge-graph–powered analytics, and advanced forecasting models that support high-impact commercial workflows such as portfolio scenario analysis, M&A intelligence, forecasting, and energy transition planning.
Main Responsibilities
Working in the central machine learning department, you will be collaborating with our product, data, research, 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.
Key Skills & Experience
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.
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