At a Glance
- Tasks: Lead AI solutions in energy analytics and forecasting while mentoring a team of data scientists.
- Company: Wood Mackenzie, a global leader in energy analytics and data.
- Benefits: Hybrid work model, flexible hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on quality and innovation.
- Why this job: Make a significant impact in the energy sector with cutting-edge AI technology.
- Qualifications: Experience in applied AI and strong leadership skills required.
The predicted salary is between 80000 - 100000 £ per year.
Wood Mackenzie is a global leader in analytics and data for energy and natural resources. We seek a Principal Data Scientist (Applied AI) to lead AI-native solutions across cross-domain analytics, focusing on energy systems and forecasting.
Hybrid role in Edinburgh or London, with in-office presence twice weekly and timezone-friendly flexibility. You will mentor senior data scientists, shape modeling standards, and oversee delivery quality while collaborating with cross-functional teams.
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