At a Glance
- Tasks: Develop predictive models and perform financial feasibility analyses for energy systems.
- Company: Sovereign AI, a leader in AI infrastructure across EMEA.
- Benefits: Competitive salary, professional development, and opportunities to work on impactful projects.
- Other info: Dynamic role with opportunities for growth in a cutting-edge industry.
- 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.
Senior Energy Analyst employer: S-AI
Sovereign AI is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the rapidly evolving field of AI infrastructure. Employees benefit from extensive growth opportunities, working on mission-critical projects that have a significant impact on sectors such as Government and Healthcare, all while being part of a resilient and secure environment located in the UK. With a commitment to employee development and a focus on compliance and performance, Sovereign AI provides a meaningful and rewarding career path for those looking to make a difference.
