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Graduate Data Scientist - Cyber Analytics (Position located in Cheltenham, United Kingdom)

Full TimeLocalCheltenham Village-PAConfidential Company (Register)

Confidential (Registered Users Only) empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, Confidential (Registered Users Only) is the pioneer of digital workforce security, securing both AI agents and humans. The Confidential (Registered Users Only) 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, Confidential (Registered Users Only) 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.Confidential (Registered Users Only).com/careers/locations/york
Glassdoor: https://www.glassdoor.com/Location/Confidential (Registered Users Only)-York-Location-EI_IE969384.0,7_IL.8,12_IC3297365.htm
LinkedIn: https://www.linkedin.com/company/Confidential (Registered Users Only)/life/uk/

The Cybersecurity Threat Analyst works in the Confidential (Registered Users Only) Threat Research Lab, and is responsible for creating solutions and models to detect threats in Confidential (Registered Users Only)’s target markets and products.

To learn more about the product this position deals with - click here: https://www.egress.com/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

We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.Confidential (Registered Users Only).com/careers/benefits.

Note: An applicant assessment and background check may be part of your hiring procedure.

Individuals seeking employment at Confidential (Registered Users Only) 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.Confidential (Registered Users Only).com/careers/request-accommodation.

No recruitment agencies, please.