Data Scientist (Skip Rates) - Wokingham (Hybrid) - Inside IR35

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.