Associate Counsellor Industrial Ecology Systems Modelling

This role is for one of Weekday’s clients
Salary range: Rs 1000000 - Rs 1400000 (ie INR 10 - 14 LPA)

Min Experience: 5+ years
Location: Delhi, India
JobType: full-time

We are seeking an Associate Counsellor specialising in Industrial Ecology and Systems Modelling to contribute to research, analysis, and consulting assignments focused on material-flow analysis, industrial resource productivity, computational modelling, and technology assessment.

The role involves analysing industrial resource systems, evaluating material and energy flows, developing quantitative models, and assessing sustainable resource-use pathways. The ideal candidate will have a strong engineering or systems analysis background, with the ability to translate scientific and technical findings into practical insights and decision-support tools.

Key Responsibilities

• Conduct material-flow analysis (MFA), substance-flow accounting, material balancing, and industrial resource-use assessments.
• Analyse industrial resource productivity and identify opportunities to improve material efficiency and resource utilisation.
• Undertake systems analysis to understand the interactions between energy, water, carbon, and material flows across industrial processes.
• Define appropriate system boundaries and evaluate resource dependencies and interrelationships within complex industrial systems.
• Develop and apply computational models to assess industrial resource systems and evaluate alternative technological and resource-use pathways.
• Conduct scenario analysis to assess the potential environmental and resource implications of different industrial and technological interventions.
• Use Python, R, or comparable computational tools for data analysis, quantitative modelling, and visualisation.
• Analyse critical materials and material supply chains, including resource availability, dependencies, and potential supply risks.
• Assess resource exchange opportunities between industrial processes and unit operations.
• Apply input-output analysis, process integration techniques, and related tools to evaluate industrial resource efficiency.
• Evaluate circularity opportunities across batteries, solar photovoltaic systems, wind turbines, electronics, and other technology sectors.
• Apply life-cycle assessment (LCA) principles and relevant ISO 14040/14044 frameworks to support sustainability assessments and reporting.
• Contribute to applied research, consulting projects, and technology assessments related to industrial systems and resource transitions.
• Translate scientific and engineering analysis into practical recommendations, analytical outputs, and decision-support tools.
• Prepare technical reports, research findings, presentations, and project deliverables for relevant stakeholders.

Must-Have Skills

• Material-Flow Analysis (MFA)
• Systems Analysis
• Quantitative Modelling
• Material and Substance-Flow Accounting
• Computational Modelling
• Industrial Resource Efficiency
• Data Analysis and Visualisation

Good-to-Have Skills

• Critical-Material Analysis
• Material Supply-Chain Analysis
• Resource Exchange and Process Integration
• Input-Output Analysis
• Life-Cycle Assessment (LCA)
• Industrial Sustainability and Circularity Assessment
• Python or R

Qualifications and Experience

• Approximately 5–6 years of relevant professional experience in industrial ecology, resource systems analysis, industrial resource efficiency, or related areas.
• Master's degree in Chemical Engineering, Industrial Ecology, Industrial and Environmental Systems Engineering, Systems Engineering, or a related discipline.
• Specialisation in resource efficiency, process systems, industrial sustainability, or computational modelling is preferred.
• Strong understanding of material-flow analysis, material balances, resource-use assessments, and industrial systems.
• Demonstrated ability to develop and apply quantitative models, conduct scenario analysis, and evaluate alternative resource and technology pathways.
• Working proficiency in Python, R, or comparable computational tools for data analysis and visualisation.
• Experience in applied research or consulting assignments involving industrial systems, resource transitions, or technology assessments is preferred.
• Strong analytical, problem-solving, research, and technical communication skills.
• Ability to integrate scientific and engineering analysis into practical recommendations and decision-support tools.