Senior Data Scientist - AI Pentesting & Agentic ML

NetSPI

United Kingdom

On-site

GBP 90,000 - 130,000

Full time

5 days ago
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Job summary

NetSPI, a leader in Penetration Testing as a Service, is seeking a Senior Data Scientist to advance our AI pentesting product. You will work on a large Pythonic system that maps web apps, reasons with LLM agents, and confirms vulnerabilities with deterministic evidence.

This is both engineering and research, blending ML, statistics, and agent design. You will partner with pentesters and platform engineers to turn practitioner expertise into product behaviour, while communicating results to

Qualifications

  • Master’s or PhD in Data Science, Statistics, Computer Science, or a related field.
  • Minimum 7 years of experience in data science with a strong background in machine learning and statistical analysis.
  • Experience with training and fine tuning LLMs is heavily preferred.
  • Expertise in Python, R, or other data science languages and tools.
  • Strong experience with data visualization and communication of complex results.

Responsibilities

  • Own features end to end in a large Python codebase - design, implementation, tests, and the design documents that govern them.
  • Design, evaluate, and harden LLM-driven agents: prompt and tool design, deterministic confirmation of model output, evidence gating, and reproducible behaviour from a fixed input snapshot.

Skills

Python
R
LLM fine-tuning
Data visualization
Communication

Education

Master’s or PhD in Data Science/Statistics/CS

Tools

SQL
Git

Job description

NetSPI, a leader in Penetration Testing as a Service, is seeking a Senior Data Scientist to advance our AI pentesting product. You will work on a large Pythonic system that maps web apps, reasons with LLM agents, and confirms vulnerabilities with deterministic evidence.

This is both engineering and research, blending ML, statistics, and agent design. You will partner with pentesters and platform engineers to turn practitioner expertise into product behaviour, while communicating results to

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