Join our AI & Innovation group as a Data Science Team Lead and drive the development of intelligent, data-driven solutions at the core of our next-generation security products.

We’re looking for a hands-on leader to guide a team of talented data scientists, transforming complex data into impactful insights and AI capabilities that power a cutting-edge, real-time cybersecurity platform.

In this role, you’ll lead the research, design, and implementation of data science models — from ideation to production — working closely with engineers and product teams to integrate machine learning into large-scale, high-performance systems. You’ll be part of a fast-moving, innovation-driven group that blends startup-style agility with the strength of a global cybersecurity leader. If you're passionate about applied machine learning, leading top talent, and solving real-world challenges with AI — we’d love to connect.

Major Responsibilities

• Lead and mentor a team of data scientists, guiding their technical growth and fostering a collaborative, high-performing team culture
• Own the full lifecycle of data science projects — from problem definition, research, and experimentation to model development, evaluation, and deployment
• Translate business and product goals into well-defined data science problems, and identify high-impact opportunities to apply AI and machine learning
• Collaborate closely with AI engineers and software developers to integrate models into a scalable, production-grade system
• Ensure product reliability, explainability, and performance, to achieve goals in real-world environments
• Stay up-to-date with the latest developments in AI/ML research and tools, and promote a culture of innovation

Desired Background

• 5+ years of experience in data science or machine learning, with at least 2 years in a leadership role, with proven experience mentoring data scientists and leading projects end-to-end
• Deep understanding of modern AI techniques, including LLMs, embeddings, knowledge graphs, retrieval-augmented generation (RAG), and multi-agent systems
• Strong proficiency in Python and relevant ML/AI frameworks (e.g., Hugging Face Transformers, PyTorch, scikit-learn), as well as graph and vector database technologies
• Strong communication skills and the ability to work cross-functionally with product and engineering, and to integrate generative AI capabilities into scalable into large-scale, production-grade systems
• MSc in Computer Science, Data Science, Statistics, or a related field
• Experienced with cyber security – advantage