At a Glance
- Tasks: Analyse threat data and develop innovative solutions to combat cyber threats.
- Company: Join a pioneering company in digital workforce security, trusted by over 70,000 organisations globally.
- Benefits: Enjoy bonuses, tuition reimbursement, and a fun, high-tech work environment.
- Other info: Dynamic team culture with opportunities for professional growth and learning.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge technology.
- Qualifications: Bachelor's degree in a quantitative field and strong coding skills in Python or C#.
The predicted salary is between 63000 - 77000 £ per year.
The company empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, the company is the pioneer of digital workforce security, securing both AI agents and humans. The company 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, the company leads the industry in workforce trust and defense.
The Cybersecurity Threat Analyst works in the company Threat Research Lab, and is responsible for creating solutions and models to detect threats in the company’s target markets and products.
Responsibilities
- Analyses 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
- Company-wide bonuses based on monthly sales targets
- Employee referral bonuses
- Adoption assistance
- Tuition reimbursement
- Certification reimbursement
- Certification completion bonuses - all in a modern, high-tech, and fun work environment
Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at the company 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 the company website.
No recruitment agencies, please.
Graduate Data Scientist - Cyber Analytics (Position located in Cheltenham, United Kingdom) employer: United States Digital Space LLC
United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.
Contact Details:
United States Digital Space LLC Recruitment Team
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