Decarbonisation Model Engineer

Neutreeno; Cambridge; On-site; GBP 75,000 - 110,000; Full time

Job summary

Jobtailor in Cambridge seeks a senior techno-economic modeller to build bottom-up models for decarbonisation levers at scale, quantifying CAPEX, OPEX, abatement costs and carbon pricing across multiple sectors.

You will code in Python (pandas, NumPy), ensure reproducibility with Git/GitHub, mentor engineers, and communicate complex results to non-technical stakeholders.

Qualifications

• Masters or PhD in Industrial, Chemical, Process or Mechanical Engineering.
• 3+ years of industry or research experience in techno-economic modelling with focus on energy and material efficiency and emissions reduction.
• Proven system-level thinking.

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 and circular design.
• Identify Best Available Technologies for technology-specific cases.
• Develop techno-economic analyses covering CAPEX, OPEX, cost of abatement, marginal abatement cost curves and sensitivity analysis.
• Develop the carbon pricing engine across compliance markets, taxation, internal shadow pricing and CBAM.
• Model client exposure under different carbon price scenarios.
• Identify value from decarbonisation, including green-premium pricing for low-carbon products and incentives or green finance.
• Write clear, reproducible Python for the models.
• Mentor junior engineers.
• Work across industrial sectors including jet engine production, electricity transmission and EV battery manufacturing.

Skills

Techno-Economic Modelling

Carbon Accounting

Energy Efficiency

Python Programming

Process Simulation

Mentoring

Communication Skills

Education

Masters or PhD in Industrial Engineering

Mechanical/Chemical/Process Engineering

Tools

Python

Pandas

NumPy

Git

GitHub

Aspen Plus

HYSYS

Job description

• 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 and circular design
• Identify Best Available Technologies for technology-specific cases
• Develop techno-economic analyses covering CAPEX, OPEX, cost of abatement, marginal abatement cost curves and sensitivity analysis
• Develop the carbon pricing engine across compliance markets, taxation, internal shadow pricing and CBAM
• Model client exposure under different carbon price scenarios
• Identify value from decarbonisation, including green-premium pricing for low-carbon products and incentives or green finance
• Write clear, reproducible Python for the models
• Mentor junior engineers
• Work across industrial sectors including jet engine production, electricity transmission and EV battery manufacturing

Requirements

• Masters or PhD in Industrial, Chemical, Process or Mechanical Engineering
• 3+ years of industry or research experience in techno-economic modelling, with a strong focus on energy and material efficiency and emissions reduction
• Proven system-level thinking
• Deep working knowledge of energy and material efficiency in industry: heat integration, electrification and fuel switching, and material flows, yield losses and substitution
• Strong command of carbon accounting and life cycle assessment, including Scope 1, 2 and 3 inventories, product carbon footprints and relevant frameworks (GHG Protocol, ISO 14064 / 14067, SBTi, CBAM)
• Costing proficiency across techno-economic analysis, project finance and carbon pricing
• Expert Python for quantitative modelling, including pandas and NumPy
• Reproducible, validated and version-controlled models using Git/GitHub
• Familiarity with LLMs and agentic-AI workflows
• Outstanding communication skills for technical and non-technical audiences
• Experience with process simulation software such as Aspen Plus or HYSYS (preferred)
• Experience building marginal abatement cost curves or decarbonisation roadmaps for large industrial clients (preferred)
• Knowledge of optimisation or machine learning applied to process optimisation and emissions reduction (preferred)

Core Competencies

Demonstrates expertise in techno-economic modeling, carbon accounting, and energy efficiency, with a strong focus on developing reproducible Python models and mentoring junior engineers. Proficient in analyzing decarbonization strategies across various industrial sectors, leveraging advanced analytical tools and frameworks.

Highest-signal resume keywords

• Techno-Economic Modelling
• Carbon Accounting
• Energy Efficiency
• Python Programming
• Process Simulation Software

Hard Skills

• Techno-Economic Analysis
• Carbon Pricing
• Energy Efficiency Analysis
• Heat Integration
• Material Substitution
• Life Cycle Assessment
• Costing Proficiency
• Marginal Abatement Cost Curves
• Optimisation
• Machine Learning

Soft Skills

• Outstanding Communication Skills
• Mentoring

Certifications & Qualifications

• Masters or PhD in Industrial Engineering
• Chemical Engineering
• Process Engineering
• Mechanical Engineering

Industry Keywords

• Decarbonisation
• Green Finance
• Circular Design
• Electricity Transmission
• EV Battery Manufacturing
• Jet Engine Production
• GHG Protocol
• ISO 14064
• ISO 14067
• SBTi

Tools & Technologies

• Python
• Pandas
• NumPy
• Git
• GitHub
• Aspen Plus
• HYSYS