Senior Scientist - Knowledge Graphs & ML for Risk & Fraud

TRSS; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A global technology leader seeks a Senior Applied Scientist to drive innovation in knowledge graphs and AI applications. Based in London, this hybrid role involves designing experiments, managing projects, and collaborating with various stakeholders. Ideal candidates have a PhD or relevant experience, strong NLP skills, and a proven track record in commercial applications. The position offers a flexible work environment, extensive career development options, and industry-competitive benefits to ensure work-life balance and personal growth.

Benefits

Flexible hybrid working environment

Comprehensive benefit plans

Career Development and Growth

Employee volunteer days

Mental Health Days off

Qualifications

• PhD in a relevant discipline or Master’s plus research experience.
• Hands-on industry experience in NLP, ML, and Knowledge Graph systems.
• Experience with real-world messy data in commercial contexts.

Responsibilities

• Design and execute experiments in knowledge representation and AI.
• Manage end-to-end knowledge graph development and experimentation.
• Collaborate with stakeholders to translate objectives into requirements.

Skills

NLP expertise

Graph ML knowledge

Python coding

Problem-solving

Communication skills

Education

PhD in relevant discipline

Master’s with research experience

Tools

Git

Cloud technologies

Job description

A global technology leader seeks a Senior Applied Scientist to drive innovation in knowledge graphs and AI applications. Based in London, this hybrid role involves designing experiments, managing projects, and collaborating with various stakeholders. Ideal candidates have a PhD or relevant experience, strong NLP skills, and a proven track record in commercial applications. The position offers a flexible work environment, extensive career development options, and industry-competitive benefits to ensure work-life balance and personal growth.