Learn and understand ESG frameworks and their content with support
Produce audit-ready content with a high degree of accuracy and consistency
Extract, structure, and transform complex source content into final formats
You will help define the final target formats
Own defined portions of projects, including data discovery, source interpretation, enrichment of raw content, and validation of outputs against quality standards
Identify opportunities to improve content models, field definitions, and workflow efficiency based on recurring issues seen during execution
GenAI-assisted Workflow Automation
Independently build and use AI to execute tasks and automate projects to increase our capabilities and impact
Contribute to projects on AI-assisted data scraping workflows
Build scripts to automate processes
Project management
Independently manage substantial workstreams within the project, escalating risks or blockers with clear recommendations
Devise and drive methodology for your workstreams, from discovery to QA, and produce clear documentation
Actively share learnings to increase team capability
Requirements
2+ years experience with GenAI in the workplace
Minimum 3 years in an analytical or data operations role (or similar)
Highly effective with LLMs and prompt engineering (comparisons, evaluation, safety mindset)
Coding exposure with and without LLMs
Ability to understand intended outcomes and convert into an executable workflow
Proven deep comprehension, high critical reasoning and attention to detail
Spreadsheet competency for data analysis, manipulation and tracking
Comfortable handling both quantitative and qualitative data
Strong English verbal and written communication, able to collaborate asynchronously
Organised and able to manage tasks and timelines, proactively seeking and proposing more efficient ways of execution
Bachelor’s degree (or equivalent experience) in science, engineering or a related field
Can be available 9 AM
6 PM CET
Benefits
Opportunity to help shape a sustainability data management platform