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.
Were 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, youll 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. Youll 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 wed love to connect.
Key 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
Requirements: 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
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