ThoughtRiver addresses a fundamental problem for lawyers: you simply don’t know which part of a contract to focus on without reading it all. Our pre-screening technology automates this review process by reading the contract, answering key questions and suggesting what to do next.
Data Scientist – Machine Learning / Natural Language Processing
Established in 2015, we are a fast-growing UK-based company with a global client list. We work closely with Cambridge University and include technologies and lawyers at the heart our business. Our product encompasses leading-edge AI technology, an innovative legal ontology and one of the world’s largest legal intelligence data sets.
Our Data Science team work on problems to improve and perfect the results from our Fathom Contextual Interpretation Engine. Working with Product Owners and legal language experts, we identify complex areas of interpretation required for different types and formats of contracts, initiate research projects with specific goals, then transition these into the Fathom product alongside our Engineering teams. Utilisation of the latest techniques available is hugely important, and relish collaboration with specialist we partner with in both academia and AI-focussed businesses.
Successful candidates will have strong academic background in this field, with minimum of 1-year commercial experience working in a similar or related field.
Head of Data Science
Technical Skills Required
NLP; Machine learning; Python
Graph technologies (networkx etc)
Experience with ontologies
We offer all of our employees equity in the form of share options.
Additionally, competitive salary, 25 days holiday per annum, 4% employer pension contribution.
Accomplished data scientist who relishes working in an ambitious, customer-driven company in the field of “expert systems”. Ability to work under pressure, enjoys a varied workload, and has excellent track record of self-development.