Senior Upstream Data Scientist: Materials & Emissions

Atmospheric AI; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Atmospheric AI Limited is seeking a data scientist to develop upstream models and datasets that quantify carbon intensity and production pathways for raw materials. You will work with Python, geospatial data, and production-grade tools to validate outputs and support decision making in supply chains.

The role emphasizes rigorous provenance, defensible methodology, and collaboration across data science and product teams in a London-based setup.

Qualifications

• Strong Python data-science skills with production experience.
• Demonstrated ability to build defensible models in upstream material systems.
• Experience with geospatial datasets and lifecycle from data to production.

Responsibilities

• Build validated data models for upstream feedstock pathways.
• Develop datasets on production location, tech, and carbon intensity.
• Define and maintain model boundaries and provenance for outputs.
• Ship documentation and versioned outputs for downstream use.

Skills

Python

Data science

GHG & LCA

Geospatial modelling

Communication

Education

Master's degree in a relevant field

PhD preferred

Tools

Postgres

Dagster

AWS

FastAPI

Job description

Atmospheric AI Limited is seeking a data scientist to develop upstream models and datasets that quantify carbon intensity and production pathways for raw materials. You will work with Python, geospatial data, and production-grade tools to validate outputs and support decision making in supply chains.

The role emphasizes rigorous provenance, defensible methodology, and collaboration across data science and product teams in a London-based setup.