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Data Scientist - Cybersecurity Analyst

Job in Cheltenham, Gloucestershire, GL50, England, UK
Listing for: Gravity Engineering Services Pvt Ltd.
Full Time position
Listed on 2026-06-07
Job specializations:
  • IT/Tech
    Cybersecurity, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About Know Be4

KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI.

By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense.

About the Role

As a Data Scientist - Cybersecurity Analyst at KnowBe4, you will be joining a team dedicated to advancing cybersecurity through data-driven insights. This role is a unique opportunity to apply your expertise in data science and cybersecurity to protect organizations from evolving threats.

Responsibilities
  • Analyze large datasets to identify trends and patterns related to cybersecurity threats and human behavior.
  • Develop and implement statistical models and machine learning algorithms to enhance threat detection and prevention.
  • Collaborate with product and engineering teams to integrate data science solutions into the KnowBe4 Platform.
  • Research and stay current with the latest advancements in AI, cybersecurity, and data science.
  • Provide insights and recommendations based on data analysis to improve the effectiveness of security awareness training and risk management.
Requirements
  • Proven experience in data science, with a strong focus on cybersecurity applications.
  • Proficiency in programming languages such as Python
    .
  • Strong experience with SQL for data manipulation and analysis.
  • Solid understanding of statistical modeling and machine learning techniques.
  • Familiarity with cybersecurity concepts, social engineering, and advanced persistent threats.
  • Ability to work independently and as part of a collaborative team.
  • Excellent communication skills to present complex data insights to technical and non-technical stakeholders.
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