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- Tasks: Join the AI Analysis team to innovate in cyber security and implement cutting-edge research.
- Company: Darktrace, a global leader in AI-powered cyber security solutions.
- Benefits: Generous holiday allowance, private medical insurance, and life insurance.
- Why this job: Make a real impact in cyber defence while working with advanced technologies.
- Qualifications: PhD or master's in statistics/machine learning, strong Python skills, and team collaboration.
- Other info: Hybrid role with opportunities for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Founded by mathematicians and cyber defense experts in 2013, Darktrace is a global leader in cyber security AI, delivering complete AI-powered solutions in its mission to free the world of cyber disruption. We protect more than 9,000 customers from the world’s most complex threats, including ransomware, cloud, and SaaS attacks.
Our roots lie deep in innovation. The Darktrace AI Research Centre based in our Cambridge, UK headquarters, has conducted research establishing new thresholds in cyber security, with technology innovations backed by over 130 patents and pending applications.
For more information on our cutting-edge technology, visit .
What will I be doing:
As a Statistician within the AI Analysis team, you\’ll play a key role in diverse projects, from prototyping new ideas to extensive research initiatives. Collaborating with software engineers, you\’ll test and implement research outcomes, contributing to our distinctive cyber defense methodology. Innovation is central to our work, fostering both creative approaches and traditional project development. This position emphasizes expertise in machine learning, offering chances to engage in software development and DevOps engineering collaborations.
Please note this is a hybrid role, and expectation is work a minimum of 2 days a week in the Cambridge office.
What experience do I need:
Essential:
Knowledge of classical and contemporary approaches to analysis of time series data ( bayesian analysis, HMMs, transformers),
Desirable:
Benefits we offer:
#Li-Hybrid
Statistician, AI Analysis employer: Darktrace
Contact Detail:
Darktrace Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician, AI Analysis
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Darktrace on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python skills and machine learning concepts. We want to show off our expertise, so practice explaining complex ideas in simple terms – it’ll impress the interviewers!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a personal project or something from your studies, having tangible examples of your work with time series data or NLP will make us stand out in the interview.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we can tailor our CVs and cover letters to match what Darktrace is looking for, making us more appealing candidates.
We think you need these skills to ace Statistician, AI Analysis
Some tips for your application 🫡
Show Off Your Stats Skills: When you're writing your application, make sure to highlight your experience with statistics and machine learning. We want to see how you've used these skills in real-world projects, so don’t hold back on the details!
Tailor Your Application: Make your application stand out by tailoring it to the role. Use keywords from the job description, like 'AI Analysis' and 'time series data', to show us you understand what we're looking for. It’ll help us see how you fit into our team!
Be Yourself: We love a good personality! Don’t be afraid to let your unique voice shine through in your application. Share your passion for innovation and how you approach problem-solving – we’re all about creativity here at StudySmarter.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Darktrace
✨Know Your Stats
Brush up on your statistics and machine learning concepts, especially those relevant to time series analysis and Bayesian methods. Be ready to discuss how you've applied these techniques in past projects, as this will show your depth of knowledge and practical experience.
✨Showcase Your Python Skills
Since strong experience with Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practise common algorithms and data manipulation tasks to ensure you're sharp and ready.
✨Understand Cybersecurity Fundamentals
Familiarise yourself with the basics of cybersecurity and how AI plays a role in it. Knowing about Darktrace's unique approach and recent trends in cyber threats will help you align your answers with their mission and demonstrate your genuine interest in the field.
✨Prepare for Team Dynamics
As collaboration is key in this role, think of examples where you've successfully worked in teams or taken initiative independently. Be ready to discuss how you balance teamwork with autonomy, as this will highlight your adaptability and interpersonal skills.