About the company
Our UniQue IT people are the most valuable part of Uni Systems; their knowledge and experience has made us the leading and reliable systems integrator of today and has contributed to our steady financial growth. We have created and are maintaining a stable working environment for our employees, with countless opportunities to innovate and thrive. Our work culture recognizes our UniQue IT people, supports the free sharing of ideas and the flow of information via open communication, while appreciating and effectively utilizing the talents, skills and perspectives of each employee. At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics.
Job Summary
What will you be bringing to the team?
📍Collect business requirement and develop advanced data collection solutions, with special focus on data related to different key sectors (as related to food sectors, including those for which PEFCRs are existing or under-development); 📍Produces data models according to specific problems statements, with particular focus on datasets on Life Cycle Assessment (LCA) and Environmental Footprint (EF); 📍Identify, collect, convert and update different data types/sets in several locations and (life cycle inventory) databases 📍Support for the development and testing of data for dedicated (web-based) tool(s) for the calculation of environmental footprint and, in particular, of toxicity and ecotoxicity impacts. 📍Assessing quality of available datasets (including undergoing actions to improve data quality for existing LCA datasets) as necessary for the EU EPLCA and LCDN. 📍Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.
Requirements
What do you need to succeed in this position? 📍Knowledge in trends/anomalies detection in life cycle datasets, with special focus on data related to life cycle assessment of food products compliant with the EF/ILCD schemes. 📍Knowledge in data analytics, in particular related to analysis of life cycle inventory and impact assessment datasets as in use in main Life Cycle Assessment software (e.g. OpenLCA, SimaPro or Gabi) 📍Knowledge of chemical assessment models and methods (e.g. USETOX) 📍Good knowledge on development of datasets for analysis/modelling tools and techniques, as in particular related to life cycle analysis software and tools for impact assessment 📍Good knowledge in assessing quality of available datasets (including undergoing actions to improve data quality for existing LCA data) as necessary for the EU EPLCA and LCDN.
