LCA Analyst

March 26

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Mondra

Mondra is an AI-driven environmental insights platform that enhances food sustainability by automating product Life Cycle Assessment (LCA) at scale. It provides the essential tools for brand owners and suppliers to engage in collaborative decarbonisation efforts, aiming towards a Net Zero food system. By offering granular data on the environmental performance of products, Mondra enables its users to make informed decisions that align with Science Based Targets (SBTs), optimize costs, and improve their competitive edge in the market.

Sustainability β€’ Future of food systems β€’ Impact Labelling β€’ LifeCycle Analysis

πŸ“‹ Description

β€’ Deliver continual improvements in data accuracy and validity used in Mondra Platforms for the purposes of LCA (Life Cycle Assessment). β€’ Develop detailed industry knowledge in Mondra Food and beverage data category teams. β€’ Support projects defined within the strategic Science and Methodology roadmap for continual data improvement, aligned with the latest scientific developments. β€’ Work with a globally distributed food and beverage Category team of LCA Analysts. β€’ Execute high quality & revision processes within your team for the execution of all Mondra processes relating to data, LCA and category detail. β€’ Input into the creation of LCA models of a product or service by building out product supply chains in OpenLCA and Mondra platforms. β€’ Science development activities in the areas of impact assessment and accounting (e.g. GHG, water, biodiversity), including writing reports and publications.

🎯 Requirements

β€’ Tertiary education or work placement in the field of Environmental Science. β€’ Exposure to Life Cycle Impact Assessment or foot printing methodologies and potentially associated standards, protocols, or databases. β€’ The ability to communicate complex scientific information and rationales on environmental sustainability to individuals from other disciplines or non-technical backgrounds and via publications. β€’ Outstanding attention to detail and a meticulous approach to work. β€’ Ability to review, analyse and manage large volumes of data.

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