Skills this job asks for
CybersecurityPythonC#Machine learningStatisticsSQLTensorFlowPyTorchRecruitmentEnglish
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 7 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
What knowbe4 paid sponsored hires in similar roles1 certified filing for “Data Engineer” (Data Scientists) in VA: $116k–$116k, median $116k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 7 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What knowbe4 paid sponsored hires in similar roles
- 1 certified filing for “Data Engineer” (Data Scientists) in VA: $116k–$116k, median $116k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
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.
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.knowbe4.com/careers/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.
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