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: Initial values/aptitude fit (30 mins). 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