Commodity Pricing Scientist – Ground-Truth Analytics

Atmospheric AI; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Atmospheric AI Limited seeks a highly skilled quantitative modeller to build and validate models that estimate fair delivered prices for polymer grades across regions. You will craft evidence-backed price ranges and contribute to the pricing layer as the platform evolves.

The role requires strong Python production skills, capability to work with sparse data, and the ability to explain pricing decisions to procurement teams.

Qualifications

• Proven ability to build quantitative models from sparse data.
• Ability to explain pricing ranges and backing evidence to procurement stakeholders.
• Production-quality Python with tests, interfaces and reproducibility.

Responsibilities

• Develop transaction-price inference models across geographic regions.
• Implement pricing mechanics including benchmarks, contracts, grade differentials and regional premia.
• Create explainable should-pay ranges with evidence and uncertainty.
• Source, version and maintain benchmark, feedstock and utility prices.
• Validate estimates against withheld prices and report biases.

Skills

Quantitative modelling

Production-quality code

Python programming

Analytical thinking

Education

Master's or PhD in a quantitative field

Tools

Python

FastAPI

Postgres

Dagster

AWS

Job description

Atmospheric AI Limited seeks a highly skilled quantitative modeller to build and validate models that estimate fair delivered prices for polymer grades across regions. You will craft evidence-backed price ranges and contribute to the pricing layer as the platform evolves.

The role requires strong Python production skills, capability to work with sparse data, and the ability to explain pricing decisions to procurement teams.