- 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
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Decarbonisation Model Engineer in Cambridge employer: Jobtailor
As a Client Services Coordinator at our dynamic company, you will thrive in a supportive work culture that prioritises employee growth and development. We offer comprehensive training, opportunities for advancement, and a collaborative environment where your contributions are valued. Located in a vibrant area, our team enjoys a healthy work-life balance and the chance to engage with diverse clients, making every day rewarding and meaningful.
