Jobs / engineering
Product circularity engineer
Signify · Eindhoven
About the role
About Signify
Through bold discovery and cutting-edge innovation, we lead an industry that is vital for the future of our planet: lighting. Through our leadership in connected lighting and the Internet of Things, we're breaking new ground in data analytics, AI, and smart solutions for homes, offices, cities, and beyond.
At Signify, you can shape tomorrow by building on our incredible 125+ year legacy while working toward even bolder sustainability goals. Our culture of continuous learning, creativity, and commitment to diversity and inclusion empowers you to grow your skills and career.
Join us, and together, we’ll transform our industry, making a lasting difference for brighter lives and a better world.
More about the role
What you will do
This is an exciting internship opportunity to help Signify accelerate product circularity for our consumer portfolio. As a Product Circularity Data & Analysis Intern in Eindhoven (High Tech Campus), the Netherlands, your first focus will be to build a clear baseline of where we are today: what circularity-related data we already have for existing products and what it tells us. Based on this insight, you will help determine what we still need and what we can realistically do to improve product circularity (material use, recyclability and repairability).
Some tips to help you improve the job advertisement:
- Create an overview of where we are by collecting and consolidating available circularity data for existing consumer products (materials, components, packaging, and supplier information) into a structured dataset.
- Assess product circularity (material use, recycled content, recyclability, repairability and end-of-life routes) and identify data gaps, assumptions and the key drivers—so we can determine what we need and what we can do to improve.
- Evaluate repairability and serviceability (e.g., modularity, disassembly, availability of spare parts, and ease of replacement) using product documentation and hands-on assessment where possible.
- Define a repeatable approach (templates, checklists, and clear definitions) to score/compare products on circularity and highlight data gaps and assumptions.
- Create clear insights and recommendations for stakeholders by summarizing findings in dashboards/slides and proposing next steps to improve data quality and circularity performance.