Join Darktrace as a Data Scientist and Advance Cybersecurity AI

Darktrace, established in 2013 by a team of mathematicians and cyber defense experts, stands at the forefront of the cybersecurity landscape, pioneering AI-driven solutions aimed at eliminating cyber disruptions worldwide. As a global leader in cybersecurity AI, we have successfully equipped over 8,400 clients across multiple sectors, combating sophisticated threats like ransomware, cloud, and SaaS breaches.

Our innovation-centric approach is deeply rooted, with our AI Research Centre in Cambridge, UK, setting new benchmarks in cybersecurity. The centre’s groundbreaking work is supported by more than 130 patents. In addition, our European R&D hub in The Hague underscores our commitment to cutting-edge research and development.

Darktrace’s global presence is marked by over 2,400 dedicated employees across strategic locations. Our diverse clientele includes public agencies, educational establishments, media houses, infrastructure providers, and businesses of all sizes across the globe.

This opportunity is not just a job; it's a chance to join a pioneering company recently recognized as one of the "Most Influential Companies" by TIME Magazine in 2021 and a leader in AI innovation by Fast Company in 2022. Explore more about our innovations at .

In this Data Scientist role, based out of Cambridge, you will be a vital part of our R&D team. This position focuses on enhancing and developing algorithms and models to streamline and secure cyberspace further. You will contribute directly to projects varying from rapid prototyping to fundamental research that aims to counteract novel cyber threats.

Key Responsibilities:

• Enhance project development with innovative research and creative approaches.
• Collaborate with software engineers to transition projects from conception to deployment.
• Focus on advancing our methodology to combat emerging cyber threats.

Required Skills:

• Proficient with Python and Pytorch; familiarity with transformer-based neural networks.
• Strong analytical skills and the ability to work independently and within a team.

Preferred Skills:

• Experience with modern language models like GPT4 and classical NLP approaches.
• Knowledge in graph neural networks and cloud architectures such as AWS or GCP.
• Background in cybersecurity or networking is advantageous.

Benefits Include:

• 23+ days of annual leave, private medical insurance, and life insurance.
• Supportive work environment with enhanced family leave and employee support programs.
• Additional perks like a cycle to work scheme and a special day off for your birthday.

This hybrid role requires a minimum of two days per week on-site in Cambridge, offering flexibility combined with the synergy of in-person collaboration. If you are ready to contribute to a world free from cyber disruption, apply to be part of our revolutionary journey at Darktrace.

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