Principal Data Scientist - Lead GenAI & Fraud Risk Platform

Principal Data Scientist - Lead GenAI & Fraud Risk Platform

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Cognify Search

At a Glance

  • Tasks: Lead ML and GenAI strategy to combat fraud and risk in a dynamic environment.
  • Company: Join a fast-growing UK AI-driven consumer tech business.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on innovation and career advancement.
  • Why this job: Make a real impact by designing intelligent automation systems that enhance customer experiences.
  • Qualifications: Proven experience in data science, machine learning, and system-level problem solving.

The predicted salary is between 63000 - 77000 £ per year.

Cognify Search collaborates with a fast-growing UK AI-driven consumer technology business to recruit a Principal Data Scientist who will steer ML and Gen AI strategy across high‑impact fraud and risk domains.

You will design and deploy production ML and LLM systems that power intelligent automation and decisioning across customer journeys.

You will shape scalable architectures, monitoring, evaluation loops and collaborate with Product and Engineering to solve complex, system‑level challenges.

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Principal Data Scientist - Lead GenAI & Fraud Risk Platform employer: Cognify Search

Cognify Search offers an exceptional work environment for the Head of ML & AI, where innovation meets collaboration. With a focus on enhancing customer experience through cutting-edge technology, employees benefit from a culture that prioritises professional growth and teamwork. Located in a dynamic eCommerce hub, this role provides unique opportunities to lead impactful projects while working alongside industry experts.

Cognify Search

Contact Details:

Cognify Search Recruitment Team

We think you need these skills to ace Principal Data Scientist - Lead GenAI & Fraud Risk Platform

Machine Learning (ML)
Generative AI (GenAI)
Production ML Systems
Large Language Models (LLM)
Intelligent Automation
Decisioning Systems
Scalable Architectures