At a Glance
- Tasks: Develop predictive models and perform financial feasibility analyses for energy projects.
- Company: Sovereign AI, a leader in AI infrastructure across EMEA.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on sustainability and innovation.
- Why this job: Join a mission-driven team shaping the future of AI in critical sectors.
- Qualifications: Bachelor's degree in a quantitative field; advanced degree preferred.
The predicted salary is between 60000 - 80000 £ per year.
Sovereign AI is a UK-based AI infrastructure and solutions provider building the next generation of sovereign-grade AI data centres across EMEA.
Designed for resilience, security, and scale, Sovereign AI enables commercial and government customers to deploy advanced AI with confidence in environments where performance, reliability, and compliance are non-negotiable.
Focused on regulated and mission-critical sectors including Government, Defence, Healthcare, and Financial Services, Sovereign AI is creating the trusted foundations for AI adoption at scale, combining robust infrastructure with disciplined governance to support long-term innovation and national-level capability.
- Key Accountabilities
- Load
Forecasting: Develop and maintain predictive models to forecast half-hourly load profiles for data centre sites, specifically accounting for high-density AI and hyperscale workloads.
- Technoeconomic
Modelling: Run financial and technical feasibility models (TCO, NPV, IRR) for connections, onsite generation (gas/firming), Battery Energy Storage Systems (BESS), and power purchase agreements (PPAs).
- Site
- Due
Diligence: Perform energy-specific commercial due diligence on prospective data centre locations and build energy pricing models factoring in local tariffs and connection costs.
- Asset Optimization: Model the financial viability of market-facing opportunities, including Demand Response, virtual power plants (VPPs), and ancillary grid services.
- Sustainability & Metrics Reporting: Design and track energy performance KPIs across the portfolio to support carbon accounting (Scope 1, 2, 3).
Qualifications
- Education: Bachelor’s degree in engineering, Economics, Finance, Mathematics, or a related highly quantitative field.
- Advanced Degree (Preferred): Master’s degree in Energy Systems or an equivalent technical discipline.
Experience and Skills
- Experience building asset-level technoeconomic models (NPV, IRR, TCO) and performing time-series data analysis on large energy datasets to support long-term capacity planning.
- Advanced proficiency in Excel, SQL, and at least one programming language (Python or R) for data manipulation and statistical forecasting.
- Solid understanding of deregulated power markets and commercial power purchase agreement (PPA) mechanics.
- Experience reading, dissecting, and modelling industrial utility tariff structures and regulatory rate cases.
- Ability to translate complex data into clear metrics for executive leadership.
- #J-18808-Ljbffr
Senior Energy Analyst employer: Sovereign AI
Sovereign AI is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets infrastructure. With a strong focus on employee growth and development, team members are encouraged to engage in meaningful projects that shape the future of AI technology across critical sectors. The company fosters a collaborative culture, providing unique opportunities to work with senior stakeholders and partners, ensuring that every employee plays a vital role in driving national-level capabilities.
