Data Scientist – Power Trading Analytics

About the role

The Data Scientist will enhance the analytical capability of the Power Trading function, linking trading operations, settlement data, market fundamentals and risk controls into a single auditable system. This role is focused on practical AI tools and performance attribution rather than pure research.

Key responsibilities

• Own the analytical data layer for contracts, spot transactions, generation, market prices, settlements and invoices.
• Define data standards, validation rules, reconciliation checks and maintain audit trails.
• Investigate data breaks and settlement variances with traders and external providers.
• Automate data collection, cleaning, reconciliation and reporting workflows.
• Produce regular performance analysis, attributing results to controllable and non‑controllable drivers.
• Build benchmarks and scenario comparisons to isolate genuine trading value‑add.
• Create structured decision logs linking market context, forecasts, positions and trader rationale.
• Analyse decision patterns to develop repeatable playbooks and training materials.
• Identify and implement AI use cases such as document extraction, exception detection and report drafting.

Required profile

• Strong analytical background with experience in power or energy trading environments.
• Ability to work closely with traders, explain analytical results and capture decision logic.
• Experience in data governance, validation and audit‑trail creation.
• Proven track record of turning analytical insights into operational improvements.

Required skills