Senior Data Scientist (Contract)

• Profile, analyse, and explore complex industrial datasets to identify modelling opportunities and data quality considerations.
• Establish baseline approaches and define robust evaluation datasets, metrics, and validation frameworks.
• Build and deploy classification, matching, and inference models for production use.
• Measure model performance and produce detailed error analysis to support ongoing improvement.
• Apply LLMs in appropriate use cases such as extraction, constrained labelling, and code generation, supported by clear evaluation processes.
• Collaborate with domain experts to translate complex business challenges into practical machine learning solutions.

3 Months Initial (possibility to extend)

Hybrid, London

• Strong experience building and deploying machine learning models in production environments where accuracy and reliability are critical.
• Advanced Python skills, including hands-on use of pandas and scikit-learn.
• Strong statistical knowledge and the ability to design effective validation and evaluation methodologies.
• Experience assessing model performance, analysing errors, and communicating findings clearly.
• Capability to build or contribute to LLM-powered workflows with robust evaluation frameworks.
• Comfortable working independently and taking ownership of technical standards and delivery.
• Ability to work effectively with subject matter experts in unfamiliar domains.