Principal Data Scientist
Core
Subject-matter authority for data science, designing and deploying advanced AI/ML methodologies and production-grade systems for global energy-flow data.
Role type
Principal Data Scientist (hands-on IC with strategy & mentorship)
Builds
Cloud-native data platform powering predictive systems for energy-demand forecasting, anomaly detection, and real-time trading recommendations
Domain
Energy markets, seaborne energy flows, satellite data, AI/ML
Deliverable
production ML models
Required skills
Python, regression, classification, clustering, time-series analysis, anomaly detection, sequence-to-sequence architectures, stochastic optimisation, model deployment, monitoring, experiment design
Preferred skills
Energy sector experience, quantitative trading (arbitrage, backtesting, risk management), frontier AI (transformers, generative models, agentic AI)
Technologies
Python, cloud-native ecosystems, microservices, SaaS
Responsibilities
Define success metrics for frontier problems, improve live production models, own projects from exploration to maintenance, translate research into practical solutions, mentor team members, lead the Data Science Guild
Seniority
Principal, hands-on IC with strategic leadership
