Applied Scientist: Causal ML & LLMs

Wholesum is hiring an Applied Scientist to invent, validate and implement methods for driving outcomes from unstructured evidence. You’ll explore the frontier between statistical and causal inference and large language models, designing experiments, prototyping pipelines, and collaborating with engineers to bring ideas into production quickly.

You’ll work with our CTO, a mathematician turning complex data into real-world impact, and collaborate with enterprise clients to ensure analysis is

Our team is growing, and we are hiring a Applied Scientist:
Causal ML & LLMs for Impact in United Kingdom.

We aim to respond to suitable candidates as soon as possible.

Full responsibilities and requirements are described in the listing above.

Learn more about the Applied Scientist:
Causal ML & LLMs for Impact role in the description above.

We appreciate your interest in this position.