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KnowBe4

Graduate Data Scientist - Cyber Analytics (Position located in Cheltenham, United Kingdom)

KnowBe4
United Kingdom · Full-time · Associate

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 around the globe. KnowBe4 enables organizations to manage the ongoing problem of social engineering by helping them train employees to make smarter security decisions, every day.

Fortune has ranked us as a best place to work for women, for millennials, and in technology for four years in a row! We have been certified as a "Great Place To Work" in 8 countries, plus we've earned numerous other prestigious awards, including Glassdoor's Best Places To Work.

Our team values radical transparency, extreme ownership, and continuous professional development in a welcoming workplace that encourages all employees to be themselves. Whether working remotely or in-person, we strive to make every day fun and engaging; from team lunches to trivia competitions to local outings, there is always something exciting happening at KnowBe4.

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 Graduate Data Scientist - Cyber Analytics 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

  • BS or equivalent plus 2 years experience
  • MS or equivalent plus 1 year experience
  • Experience with phishing
  • Statistical analysis skills
  • Intermediate Python and C# abilities
  • 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, certification completion bonuses, and a relaxed dress code - 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.

Key Skills

Ranked by relevance

python c reverse engineering machine learning
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Posted
Jan 15, 2025
Type
Full-time
Level
Associate
Location
Cheltenham
Company
KnowBe4

Industries

Computer Network Security

Categories

Engineering Information Technology

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