Commercial Analyst (Data Centres and Industrials)

London, United Kingdom

Contract

Posted September 18, 2026

Application opens on company website

Source: Lever View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed November 3, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
Pay provenance: Pay not available

Octopus is building a new business line delivering low-cost, reliable, clean energy and faster speed-to-power for datacenters and large industrials.

Own the project model for each opportunity - generation, BESS, flexible load, network cost; capex, opex, revenue stack, IRR, downside cases. Build project-specific models while developing toolings and standard assumptions to support our growing pipeline
Price the offer. Turn a customer's load profile and reliability requirement into a deliverable price and structure - tariff, PPA, tolling, availability-based - and show which one allocates risk sensibly for both sides.
Value the flex. Model storage and flexible load across wholesale, Balancing Mechanism, ancillary services and Capacity Market. Quantify network charges (TNUoS, DUoS, BSUoS), curtailment and connection options.
Develop the business case. Build internal and external presentations to support from indicative customer proposals to project final investment decisions.
Track the portfolio and read the market. Monitor live projects against approved cases - spend, milestones, connection dates - and identify early and quantify regulatory change (connections reform, REMA, network charging). Support term sheets and diligence from indicative to signed.

2–5 years in a numerate commercial role - infrastructure or renewables development, project finance, banking, energy trading or origination, strategy or energy consultancy.
Financial modelling from first principles: DCF, IRR, scenarios and sensitivities. You can build a model someone else can follow and eventually develop it as a standard tool for other team members to use.
Advanced knowledge of GB/European power markets, and how network and connection costs land on a project.
Advanced Excel and Python
Able to take a messy, incomplete problem to a clear recommendation
Quantitative degree - economics, engineering, finance, maths, physics - or equivalent experience.