Principal Data Scientist, Frontier AI & Energy Analytics

Vortexa Ltd.; Greater London; Hybrid; GBP 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid working

Equity options

Private health insurance

Global volunteering policy

Flexible schedule

Job summary

Vortexa Ltd. in London is seeking a Principal Data Scientist to own the most challenging AI/ML problems and shape production-grade data solutions for real-time energy analytics.

You will lead model development across the ML lifecycle, mentor cross-functional teams, and work with analysts, engineers and traders to deliver measurable impact in global markets. This hybrid role offers frontier AI exposure, equity options, and the chance to influence how energy flows are interpreted.

Qualifications

• Definition and deployment of production-grade ML/AI solutions.
• Strong background in ML theory and applied math.
• PhD-level depth or equivalent industry experience.
• Excellent communication with non-technical stakeholders.

Responsibilities

• Own key data-science problems across the production ML lifecycle.
• Lead end-to-end projects from ideation to deployment.
• Mentor analysts, engineers and product managers.
• Translate research into practical energy-market solutions.

Skills

Strategic contributor

ML/AI expertise

Production-grade models

Python

Data science lifecycle

Ambiguity tolerance

Mentoring/leadership

Stakeholder communication

Energy markets interest

Equity awareness

Education

PhD in CS/Statistics/Applied Math/Physics

Tools

Python

Transformer models

ML tooling

Job description

Vortexa Ltd. in London is seeking a Principal Data Scientist to own the most challenging AI/ML problems and shape production-grade data solutions for real-time energy analytics.

You will lead model development across the ML lifecycle, mentor cross-functional teams, and work with analysts, engineers and traders to deliver measurable impact in global markets. This hybrid role offers frontier AI exposure, equity options, and the chance to influence how energy flows are interpreted.