Weekday AI

Proactive software engineer recruitment via referrals

Associate Counsellor Industrial Ecology Systems Modelling

ConsultingPosted on Nov 12

Full-timeDelhi, India₹1M - ₹1.4MIn-person

About the Job

Requirements

Approximately 5–6 years of relevant professional experience in industrial ecology, resource systems analysis, industrial resource efficiency, or related areas.
A master's degree in Chemical Engineering, Industrial Ecology, Industrial and Environmental Systems Engineering, Systems Engineering, or a related discipline.
A 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.
Strong analytical, problem-solving, research, and technical communication skills.
Ability to integrate scientific and engineering analysis into practical recommendations and decision-support tools.

Responsibilities

Conduct material-flow analysis, 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 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 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.

Desired Qualifications

Specialisation in resource efficiency, process systems, industrial sustainability, or computational modelling is preferred.
Experience in applied research or consulting assignments involving industrial systems, resource transitions, or technology assessments is preferred.
Critical-material analysis.
Material supply-chain analysis.
Resource exchange and process integration.
Input-output analysis.
Life-cycle assessment.
Industrial sustainability and circularity assessment.
Python or R.

Associate Counsellor Industrial Ecology Systems Modelling

Weekday AI · Delhi, India · Full-time · Posted 2026-11-12

Salary: INR 1,000,000–1,400,000

Workplace: on_site

Department: Weekday's Client via platform

Description

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.

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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