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- Tasks: Join our team to analyse threat data and develop innovative detection solutions.
- Company: KnowBe4 is a leading provider of security awareness training, recognised as a top workplace globally.
- Benefits: Enjoy bonuses, tuition assistance, a relaxed dress code, and engaging team activities.
- Why this job: Make a real impact in cybersecurity while growing in a supportive and fun environment.
- Qualifications: Bachelor's degree with 5 years experience or Master's with 4 years; strong skills in Python and C# required.
- Other info: Remote work options available; assessment and background check may be required.
The predicted salary is between 48000 - 84000 £ per year.
About KnowBe4: KnowBe4, the provider of the world's largest security awareness training and simulated phishing platform, is used by tens of thousands of organizations worldwide. We help organizations manage social engineering threats by training employees to make smarter security decisions daily. Fortune has ranked us as a best place to work for women, millennials, and in technology for four consecutive years! We are certified as a "Great Place To Work" in 8 countries and have received numerous awards, including Glassdoor's Best Places To Work. Our team values transparency, ownership, and professional growth in a welcoming environment that encourages authenticity. Whether remote or in-office, we make every day engaging with team activities, trivia, and outings.
The Cybersecurity Threat Analyst in our Threat Research Lab creates solutions and models to detect threats in our target markets and products.
Responsibilities include:- Analyzing threat data and implementing technical solutions
- Innovating and extending detection paradigms, including reverse engineering phishing attacks
- Understanding attack vectors and human behaviour exploitation
- Developing detection algorithms in Python and C#
- Using machine learning to identify phishing trends and defenses
- Creating novel algorithms and models for new challenges
- Providing technical guidance and coordination within the team
- Potentially leading sub-projects
- Bachelor's degree or equivalent + 5 years' experience
- Master's degree or equivalent + 4 years' experience
- Experience with phishing detection
- Statistical analysis skills
- Machine learning experience
- Advanced Python and C# skills
- Ability to learn quickly and adapt to new technologies
- Creative thinking, including understanding malicious techniques
We offer bonuses, referral rewards, adoption and tuition assistance, certification reimbursements, and a relaxed dress code in a modern environment. Details are available at our benefits page.
Note: An assessment and background check may be required. KnowBe4 is an equal opportunity employer. If you need accommodations, please visit our accommodation request page. No recruitment agencies, please.
Senior Data Scientist - Cyber Analyst (Position located in Cheltenham, United Kingdom) employer: KnowBe4
Contact Detail:
KnowBe4 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Cyber Analyst (Position located in Cheltenham, United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest trends in cybersecurity, especially around phishing attacks. Being able to discuss recent developments or case studies during your interview will show your passion and expertise in the field.
✨Tip Number 2
Network with current employees or professionals in the cybersecurity field through platforms like LinkedIn. Engaging with them can provide insights into the company culture at KnowBe4 and may even lead to a referral.
✨Tip Number 3
Prepare to demonstrate your technical skills in Python and C# during the interview. Consider working on a small project or algorithm that showcases your ability to develop detection models, as practical examples can make a strong impression.
✨Tip Number 4
Research the specific challenges faced by KnowBe4 in the cybersecurity landscape. Tailoring your discussion points to how you can address these challenges will highlight your proactive approach and understanding of their needs.
We think you need these skills to ace Senior Data Scientist - Cyber Analyst (Position located in Cheltenham, United Kingdom)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you thoroughly understand the responsibilities and requirements of the Senior Data Scientist - Cyber Analyst position. Tailor your application to highlight relevant experience in threat analysis, machine learning, and programming skills in Python and C#.
Craft a Tailored CV: Your CV should reflect your experience and skills that align with the job description. Emphasise your background in statistical analysis, phishing detection, and any leadership roles you've held. Use clear headings and bullet points for easy readability.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to innovate in threat detection and your understanding of human behaviour exploitation. Make it personal and engaging.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial in a data-driven role like this one.
How to prepare for a job interview at KnowBe4
✨Showcase Your Technical Skills
As a Senior Data Scientist - Cyber Analyst, you'll need to demonstrate your expertise in Python and C#. Be prepared to discuss specific projects where you've implemented detection algorithms or used machine learning to tackle phishing threats.
✨Understand the Company Culture
KnowBe4 values transparency, ownership, and professional growth. Familiarise yourself with their team culture by exploring their careers page and LinkedIn. This will help you align your answers with their values during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and creativity. Think of examples where you've innovated detection paradigms or tackled complex challenges in cybersecurity. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Demonstrate Your Passion for Cybersecurity
Show your enthusiasm for the field by discussing recent trends in cybersecurity, particularly around phishing attacks. Mention any relevant certifications or courses you've completed to further your knowledge, as this reflects your commitment to continuous learning.
