Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - Cyber Analyst (Position located in Cheltenham, United Kingdom)

KnowBe4
Cheltenham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist

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.

Learn more about our team and culture in the UK:

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 behavior 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

Requirements:

  • 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

Benefits:

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.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.