Applied Scientist: Causal ML & LLMs for Impact

WholeSum Ltd; United Kingdom; Remote; GBP 80,000 - 110,000; Full time

Job summary

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

Qualifications

• Strong background in statistical and causal inference with ML experience.
• Experience building Python pipelines and evaluating ML/AI outputs.
• Familiarity with working in startup environments and fast-paced research.

Responsibilities

• Invent and validate methods to drive outcomes from unstructured data.
• Design experiments and prototype data pipelines.
• Collaborate with engineers to productionise ideas quickly.

Skills

statistical inference

causal inference

machine learning

Tools

Python

Job description

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