AI Principal Data Scientist

In the middle of the energy transition, businesses and governments are faced with significant challenges. But the pace and scale of change mean every decision is made under mounting pressure.  Now, more than ever, companies need reliable data, analytics and actionable insight.

Wood Mackenzie is the leading global provider of data and analytics solutions for the renewables, energy and natural resources sectors.

Wood Mackenzie’s services include data, analytics, insight, events and consultancy.  A trusted partner for over 50 years, Wood Mackenzie’s team has over 2,300 experts across more than 30 global locations who cover the entire supply chain.

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

As one of our Principal Data Scientists you will:

• Lead usage and implementation of AI solutions, including generative AI, to drive innovation and solve complex business problems
• Work with our product team to understand the problems our customers face, design solutions to solve them and ensure alignment with our strategic objectives.
• Use ML / AI and modelling techniques and apply appropriate data engineering, data mining and statistical concepts
• Write maintainable, testable, and optimised code – and help junior team members do the same
• Collaborate with teams deploying data science solutions within their product area and identify feedback that will improve the platform
• Ensure the high-quality implementation and delivery of our roadmap
• Devise effective experiments and analysis or results to achieve our business goals
• Be supported to grow and develop your skills whilst introducing new skills or technologies to the team and wider business

You're a great fit for this role if:

• You've got in-depth data science experience, including productionising complex models and delivering business value with data pipelines; experience using generative models to deliver innovative products is a bonus
• You have proven leadership abilities and want to be part of a high performing team
• You can effectively communicate complex technical concepts to technical and non-technical stakeholders
• You have a strong focus on data quality, integrity, and ensuring reliable and accurate AI outcomes
• You have some experience with people management and supporting the personal development of more junior data scientists
• You understand that people build software and