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Roles
Tech stack
Required
Location
London
Work setup
- Employment
- full-time
- Level
- Mid-level, Senior
- Remote policy
- Onsite (2-3x/week onsite)
- Remote scope
- onsite
Role details
Responsibilities
- Collect data using different sensors and cameras
- Understand and visualise data
- Perform deep analytics and statistical modelling
- Model the plant to spot issues before they impact operations
- Identify optimisations that make a real difference
Requirements
- Experience in deep analytics and statistical modelling
- Experience understanding and visualising data
- Experience modelling the plant to spot issues before they impact operations
Application
Any questions, feel free to email me at peter.fine@recycleye.com
- Portfolio
- unclear
- GitHub
- unclear
- Cover letter
- unclear
- Apply flow
Company context
- Product
- recycling plants
- Industry
- Recycling
Contact
peter.fine
peter.fine@recycleye.com
Description
Recycleye and CP Group build recycling plants, and are forming a new team to provide data analytics and optimisation to recycling facility operators. There are optical sorters, AI powered airjets, AI robots and many different types of machines in a waste facility. The waste is constantly varying and the plant can be configured in thousands of ways to sort the material. This team will be collecting this data using different sensors and cameras. We’re looking for a data scientist with experience in deep analytics and statistical modelling to understand and visualise the data, and then and model the plant to spot issues before they impact operations, and identify optimistions that make a real difference. We use Clickhouse and Python or Go. Any questions, feel free to email me at peter.fine@recycleye.com
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