Data Analyst - Intern
Who we are:
P4G Labs, partnered with Maestro Technologies, is a forward-thinking, action-focused startup, with a plan to overhaul the US recycling system and unleash efficiency by activating a circular economy. We are bringing cutting-edge technology applications to fix the broken processes, improve waste value chains and make data visible for better decision making for various stakeholders of the waste management industry. We envision a future which is circular, where no plastics end up in the natural environment – landfilled, burnt, or dumped in the ocean, but are 100% recycled and processed to unlock the myriad of opportunities.
About the job:
As a Data Analyst Intern, you will provide analytical support to the applications development and growth teams at P4G Labs.
Key Responsibilities:
- Design, implement, test, prototype and deploy Machine Learning, Computer Vision, and Artificial Intelligence applications from structured and unstructured data assets.
- Research and implement novel approaches to address complex challenges in order to advance our approach to applying data science for a circular economy.
Requirements:
- Passion for the environment, sustainability, recycling and creating the circular economy.
- Statistical and a knack to use data and metrics to back up assumptions and develop business cases.
- Advanced knowledge of Python, Experience developing of ML applications is a plus.
- Strong interpersonal skills, capable of writing recommendations, and interacting with the founding team on an array of complex topics.
Working at P4G Labs may be the closest you’ll get to experiencing “Fixing the planet”. Apart from working in a makerspace, writing lines of code and building AI models to tackle the plastic problem, you would also be interacting with various actors of the waste management value chains. As the first set of talent walking in, our interns will join world-class teams to help define and build what is next for circular economy and the planet.
Every intern will be paired with a mentor, work closely with the founding team and will have access to our ecosystem to ensure a great learning experience during the internship.