Statistician, AI Analysis

TN United Kingdom; Cambridge; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player in cyber security is seeking a Statistician to join their AI Analysis team. This hybrid role offers a unique opportunity to work on innovative projects, leveraging machine learning and collaborating with talented software engineers. You'll engage in both prototyping and extensive research, contributing to cutting-edge cyber defense methodologies. With a strong emphasis on creativity and independent decision-making, this position is ideal for those passionate about pushing the boundaries of AI in cybersecurity. Join a forward-thinking company committed to protecting clients from complex cyber threats while enjoying comprehensive benefits and a supportive work environment.

Benefits

23 days holiday + public holidays

Birthday off

Private medical insurance

Life insurance

Salary sacrifice pension scheme

Enhanced family leave

Confidential Employee Assistance Program

Qualifications

• PhD or master's degree in statistics or machine learning required.
• Strong experience with Python and machine learning techniques.

Responsibilities

• Collaborate with software engineers on research initiatives.
• Test and implement research outcomes in cyber defense projects.

Skills

Python

Machine Learning

Time Series Analysis

Bayesian Analysis

Graph Neural Networks

Cloud Architecture (AWS, GCP)

NLP Techniques

Education

PhD or Master's in Statistics or Machine Learning

Tools

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,