Data Scientist developing and implementing machine learning models at Gauge, enhancing partner results through integrated solutions. Focusing on data analysis and model deployment.
About the role
- Principal Data Scientist at Wood Mackenzie leading AI-native capability development for the Energy & Natural Resources consulting portfolio. Collaborating with cross-functional teams to drive revenue growth and deliver AI-driven analytical products.
Responsibilities
- Lead design and development of AI-native systems leveraging domain-specific ontologies, knowledge graphs, network models, and agentic reasoning frameworks
- Provide technical oversight across multiple projects, ensuring modelling approaches align with high-value client workflows
- Work closely with embedded SMEs to encode domain knowledge into machine-readable structures that enable causal reasoning across global energy systems
- Collaborate with cross-functional engineering teams to deploy scalable pipelines integrating data from upstream, LNG, power, renewables, carbon, metals, and macroeconomic domains
- Serve as the primary AI technical authority for consulting engagements, shaping proposal design, analytical methodologies, and delivery quality
- Mentor senior and mid-level data scientists, establish modelling standards, and define best practices for reproducibility, evaluation, and model governance
- Engage with clients to understand strategic decision workflows and translate them into AI-driven analytical products. Partner with product, research, and data engineering teams to ensure Synoptic outputs can scale into commercial products.
Requirements
- 8+ years of experience delivering advanced machine learning, graph-based modelling, or AI systems in production
- Expertise in ontology design, structural modelling, or knowledge graphs applied to complex, interconnected domains
- Demonstrated ability to lead multi-disciplinary analytical teams
- Experience working on consulting or client-facing analytics projects with executive stakeholders
- Proven ability to design modelling architectures that scale from prototype to product.
- Advanced proficiency in Python, ML frameworks, and cloud-native pipelines
- Excellent communication skills, including the ability to articulate complex models to both technical and commercial audiences.
Benefits
- Health insurance
- Flexible working arrangements
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
Location requirements
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