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
2 weeks ago
Create job alert

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

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

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

Senior Data Scientist PhD – Canary Wharf

Senior Data Scientist

Senior Data Scientist/Analyst

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 Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.