Role Overview
Senior Data Scientist.
* will support a high-visibility programme focused on reducing skip rates in unit dispatch operations.
* The team is based primarily in Wokingham, with some programme activity in Warwick.
* Candidates are expected to be on-site 2-3 days per week.
* THIS ROLE IS INSIDE IR35
Key Responsibilities
Data Scientist
* Analyse root causes of skip rates.
* Work alongside internal data scientists and external consultants (ML/AI specialists).
* Upskill internal teams.
* Present complex findings in digestible formats.
Candidate Requirements
* Experience with large, complex, and incomplete datasets.
* Strong stakeholder engagement skills.
* Ability to work autonomously and proactively.
* Familiarity with Legacy systems, large databases, and data extraction (eg, from tapes).
* Preferably from electricity or utilities sectors for quicker onboarding.
* Comfortable navigating acronym-heavy environments.
Technical Environment
* Analysis conducted on Zero platforms.
* Data sourced from Legacy systems, balancing platforms, and new systems.
Interview Process
* Two-stage:
1. Initial values/aptitude fit (30 mins).
2. Technical interview with team members (eg, Catherine and William).
* No SC clearance required; candidates will be escorted in control rooms and won't access live systems.
Additional Notes
* Candidates with electricity balancing, energy markets, or power systems experience are highly desirable.
* Shuttle buses available from Reading and Wokingham stations to support public transport users.