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. Requirements 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.