Industrial Data Scientist: AI-Driven Waste Sorting Analytics

SLAMcore; Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

SLAMcore in Greater London is seeking a data analyst to join their team, focusing on providing actionable insights to enhance waste management processes. Your role will involve analyzing billions of rows of data, developing statistical models, and creating visualizations to facilitate decision-making.

The ideal candidate will have strong coding skills in Python and SQL, as well as a background in data analytics. Experience in optimization and data visualization is preferred. This position offers the chance to make a meaningful impact in the recycling sector.

Qualifications

• Experience in data analytics and statistical modelling.
• Ability to write production-level code in Python with strong SQL skills.
• Comfortable working in large scale physical systems, particularly waste facilities.
• Practical problem-solving abilities.

Responsibilities

• Track and analyze time-series data from waste facilities.
• Develop methods to clean and visualize data for non-technical audiences.
• Build statistical models to optimize plant output and revenue.
• Conduct A/B testing on plant setups to improve performance.
• Create scoring functions and quantitative metrics to evaluate results.

Skills

Data analytics

Statistical modelling

Python programming

Advanced SQL

Data visualisation

Job description

SLAMcore in Greater London is seeking a data analyst to join their team, focusing on providing actionable insights to enhance waste management processes. Your role will involve analyzing billions of rows of data, developing statistical models, and creating visualizations to facilitate decision-making.

The ideal candidate will have strong coding skills in Python and SQL, as well as a background in data analytics. Experience in optimization and data visualization is preferred. This position offers the chance to make a meaningful impact in the recycling sector.