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Neutreeno

B2B SaaS decarbonizing supply chains

Decarbonisation Model Engineer

Mechanical EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, UK

About the Job

Requirements

  • A Master's or PhD in Industrial, Chemical, Process, or Mechanical Engineering.
  • At least 3 years of industry or research experience in techno-economic modelling, focused on energy and material efficiency and emissions reduction.
  • Ability to reason about whole systems and identify the largest opportunities rather than optimising components in isolation.
  • Working knowledge of industrial energy and material efficiency, including heat integration, electrification, fuel switching, material flows, yield losses, and substitution effects on embodied emissions.
  • Strong command of carbon accounting and life cycle assessment, including Scope 1, 2, and 3 inventories, product carbon footprints, GHG Protocol, ISO 14064 and 14067, SBTi, and CBAM.
  • Costing proficiency in techno-economic analysis (CAPEX/OPEX, abatement cost, and marginal abatement cost curves), project finance (NPV, IRR, payback, and discount rates), and carbon pricing (ETS, carbon taxes, and internal shadow prices).
  • Expert Python skills for quantitative modelling, including pandas and NumPy, and ability to make models reproducible, validated, and version-controlled using Git/GitHub.
  • Familiarity with LLMs and agentic-AI workflows for building and enhancing decarbonisation roadmaps.
  • Ability to convey technical concepts to technical and non-technical audiences.

Responsibilities

  • Build bottom-up models from first principles to calculate bespoke decarbonisation levers at scale, accounting for cost, dependencies, and implementation time.
  • Quantify energy and material efficiency opportunities, including heat recovery, electrification, utilities, yield losses, material substitution, circular design, and Best Available Technologies for technology-specific cases.
  • Develop techno-economic analyses for each lever, including CAPEX and OPEX, cost of abatement, marginal abatement cost curves, and sensitivity analyses suitable for client finance teams.
  • Develop the carbon pricing engine across compliance markets, taxation, internal shadow pricing, and CBAM, and model client exposure under different price scenarios.
  • Identify value created by decarbonisation, including green premium pricing for low-carbon products and access to incentives and green finance.
  • Write clear, reproducible Python models and mentor junior engineers.

Desired Qualifications

  • Experience with process simulation software such as Aspen Plus or HYSYS.
  • Experience building marginal abatement cost curves or decarbonisation roadmaps for large industrial clients.
  • Knowledge of optimisation or machine learning applied to process optimisation and emissions reduction.

About the Company

Neutreeno

B2B SaaS decarbonizing supply chains

Neutreeno provides a B2B SaaS platform that helps companies decarbonize their supply chains, focusing on Scope 3 emissions. It analyzes how products are made using proprietary process networks and engineering models to map production, identify emissions hotspots, and suggest changes to materials or manufacturing processes to cut energy use and waste. The system requires far less data from clients and suppliers—as few as ten data points per supplier—to generate actionable insights and cost savings. Founded in 2020 as a Cambridge University spinout by scientists, its goal is to move beyond traditional carbon accounting by delivering practical, data-efficient decarbonization recommendations that reduce emissions and operating costs across value chains.

Company size
11-50
Company stage
Seed
Total funding
$5M
Headquarters
Cambridge, United Kingdom
Founded
2020

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