Principal Data Scientist

As a Principal Data Scientist, reporting to Vortexa's VP of Data Production, you will be the subject-matter authority for data science - the person the company turns to on the problems no one has cracked yet - and you will play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production-grade systems. Your work will be held to the scrutiny of energy analysts, traders, operations teams and regulatory stakeholders, and must meet the performance, reliability and robustness standards required for critical energy infrastructure.

You will be:

Working on frontier problems: where there is no obvious baseline, benchmark or established definition of success. You will be expected to define what good looks like, and bring the rigour needed to reach a meaningful conclusion.

Raising the ceiling on models already in production: working closely with the pods that own to make live predictions measurably better.

Taking problems end-to-end: moving across pods and owning substantial projects from initial exploration all the way through to long-term maintenance, ultimately delivering robust, production-grade solutions.

Turning research into impact: identifying emerging approaches, formulating hypotheses, designing rigorous experiments, evaluating new techniques and translating research into practical solutions that work in the real world.

Building the capability of Data Science: through technical review, pairing and mentoring, setting the standards for how we work, and by being the person analysts, engineers and product managers bring their hardest questions to.

Leading the Data Science Guild: setting the technical agenda and creating the forum where the significant questions across the practice are surfaced, challenged and worked through.