Sobre esta vaga de Graduate Data Scientist - Cyber Analytics (Position located in Cheltenham, United Kingdom) na KnowBe4
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.
To learn more about our team and office culture in England (UK), visit the following links.
Careers Page: https://www.knowbe4.com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/KnowBe4-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/knowbe4/life/uk/
The Cybersecurity Threat Analyst works in the KnowBe4 Threat Research Lab, and is responsible for creating solutions and models to detect threats in KnowBe4’s target markets and products.
Responsibilities:
- Analyzes threat data and implements technical solutions
- Innovate and create extensions to detection paradigms in end to end fashion
- Reviewing, understanding and reverse engineering phishing attacks and technologies.
- Understanding and implementing broader attack vectors.
- Developing detection algorithms (python, c#) and extracting identifying features of phishing emails.
- Understanding human behaviour and communications, and how they can be exploited by attackers
- Using machine learning to identify broader phishing trends and how to protect against them
Requirements:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Physics or a related quantitative field
- Strong working knowledge of SQL for data extraction and manipulation
- Demonstrated ability to write clean, efficient code. Proficiency in Python or C#
- Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch
- Demonstrable experience in being able to quickly learn and adapt to new areas of technology
- Ability to think outside the box and/or think maliciously to deliver creative solutions.
Our Fantastic Benefits
Note: An applicant assessment and background check may be part of your hiring procedure.
Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation.
No recruitment agencies, please.
