Statistician, AI Analysis

Darktrace; Cambridge; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A leading global cybersecurity company seeks a Statistician to join its AI Analysis team in Cambridge. You will play a critical role in diverse projects, utilizing your machine learning expertise and collaborating across teams to enhance cybersecurity methodologies. This hybrid role offers opportunities for independent work and innovative research while providing a comprehensive benefits package, including private medical insurance and additional leave for birthdays.

Benefits

23 days’ holiday + public holidays

Additional day off for your birthday

Private medical insurance for family

Life insurance of 4 times your base salary

Salary sacrifice pension scheme

Enhanced family leave

Confidential Employee Assistance Program

Qualifications

• Strong experience with Python and machine learning techniques.
• Knowledge of classical and contemporary time series analysis methods.
• Familiarity with recent large language models and graph neural networks.

Responsibilities

• Collaborate with software engineers to test and implement research outcomes.
• Engage in prototyping and extensive research initiatives.
• Contribute to the cyber defense methodology through innovative approaches.

Skills

Python

Machine learning

Time series analysis

NLP

Cloud architecture

Graph neural networks

Education

PhD or master’s degree in statistics or machine learning

Tools

AWS

GCP

Terraform

Ansible

Job description

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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 our website.

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 the expectation is to work a minimum of 2 days a week in the Cambridge office.

What experience do I need:

• Candidates must have a PhD or master’s degree in statistics, machine learning, or a related discipline, or equivalent experience,
• Strong experience working with Python,
  Knowledge of classical and contemporary approaches to analysis of time series data (Bayesian analysis, HMMs, transformers),
• Be a team player but with the ability to operate autonomously and take independent decisions.
• Experience with recent large language models (GPT-4, LLAMA2, Falcon),
• Knowledge of classical NLP approaches (TF-IDF, POS-tagging, Word2Vec),
• Experience with graph neural networks (MPNNs, GCNs, GATs),
• Experience with cloud architecture (AWS, GCP),
• Experience with infrastructure provisioning tools (Terraform, Ansible),
• Knowledge of cybersecurity or networking.

Benefits we offer:

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service,
• Additional day off for your birthday,
• Private medical insurance which covers you, your cohabiting partner, and children,
• Life insurance of 4 times your base salary,
• Salary sacrifice pension scheme,
• Enhanced family leave,
• Confidential Employee Assistance Program,