Senior Data & Digital Solutions Consultant

Overview

In this role you lead design, delivery and governance of data pipelines to inform energy transition strategy and policy. You’ll work within a cross-disciplinary consultancy team, collaborating with data, AI, cyber security and engineering colleagues to build robust data solutions. The role combines hands-on data work with project delivery and business development in a fast-paced energy sector context. You will contribute to shaping low-carbon insights that influence policy and investment decisions, starting from day one in the heart of the energy transition.

Pay / Benefits

• 25 days annual leave
• Private healthcare (subsidised)
• Life assurance (up to 4x salary)
• Matched pension contributions
• Cycle to work scheme
• Season Ticket Loan

Responsibilities

• Design, build, and optimize data pipelines and models to analyze low-carbon technologies and policies
• Source, clean, process, and manipulate datasets to create a reliable evidence base; produce dashboards and visuals
• Deliver quantitative analyses across multiple criteria to assess policy options and business models
• Update and enhance existing Python-based models and ensure quality, security, reproducibility, and documentation
• Manage APIs and system integrations, coordinating with third parties for reporting requirements
• Lead release testing and contribute to continuous improvement of data services and tools
• Oversee project delivery, guide analysts on methodology and QA, and manage client relationships
• Support business development by shaping propositions and proposals and building stakeholder relationships

Key requirements

• 4+ years in a data-focused analytical role
• Strong interest in energy transition and climate change
• Independent work capability within a multidisciplinary team
• Advanced Python for data work, scripts, pipelines and API integration
• Strong MS Excel for economic and quantitative analysis
• Experience using AI tools to enhance analysis and automate delivery
• JSON processing and manipulation
• High numeracy with data handling and problem solving
• Clear written, verbal and numerical communication with stakeholders
• Time management and ability to manage delivery to client expectations
• Graduate/postgraduate degree in Data Science, Mathematics, Statistics, Economics or related numerate discipline
• Comfort with end-to-end architectures and option exploration for future-state improvements

• effective communication with senior stakeholders
• ability to work independently and as part of a cross-functional team
• problem-solving mindset with data-driven approach
• Python (advanced)
• JSON processing
• SQL (advantageous)

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