Our client is a prestigious European institution acting as the primary executive branch of the European Union. The Institution is looking for a skilled Cybersecurity Data Science Strategist to join as part of their Cyber Security Operations Centre. The objectives of the unit are to support threat-based and incident-based decision-making through data analytics and reporting capabilities, and to provide capability development services to the unit, among others.
We are looking for a professional who can demonstrate advanced expertise in Cybersecurity and Information Technology (Networking, Infrastructure, Telecommunications), Data Science and Mathematics, and a robust experience in Digital Forensics and Incident response.
This role requires a combination of deep technical knowledge, proven orchestration capabilities, and project leadership capabilities in high-stakes environments.
If this excites you, then we have the right challenge for you!
Contract type: Freelancer agreement, with an initial contract duration, with the possibility for renewal
Workplace type: Remote within EU territory (besides 20 days of on-site office presence in Luxembourg or Brussels at the client's site, with a notice period of 7 days)
Key Responsibilities:
• Lead strategic cybersecurity projects leveraging machine learning and data science.
• Identify emerging threats and recommend proactive measures.
• Translate business and regulatory requirements into actionable technical deliverables that align with organisational goals.
• Ensure seamless integration of deliverables with existing cybersecurity incident detection & response capabilities in both centralized and distributed operational environments.
• Plan the implementation of technical architectures according to the Contracting Authority’s cybersecurity strategy.
• Engage with management and stakeholders on security matters and present them high-level security architecture design.
• Design and implement AI models tailored to contracting authority needs in cybersecurity
• Measure and benchmark the efficiency of existing and custom AI models for their use in cybersecurity
• Build training and validation datasets.
• Define and implement the architecture of a data collection platform intended for reporting. Validate data quality and extract relevant patterns and metrics.
Specific knowledge, skills, and expertise
Experience
• Extensive experience of at least 20 years in IT and Cybersecurity operations and projects.
• Significant experience in leading high-impact Cybersecurity solutions delivery within international public organisations.
• Proven experience with national or governmental CERTs
• Experience in contributing and developing recognised open-source projects in the field of cybersecurity (p.e. MISP, OpenTIDE, SAF, IntelMQ…).
Expertise in data collection and reporting tools & platforms, among which Power BI, Jupyter Notebook, Pandas, Numpy…
• Python development with a focus on data science and machine learning
Advanced Technical Competencies
• Demonstrable ability in deploying and configuring network security controls (FW, proxy, WAF, IDS/IPS, VPN)
• Thorough knowledge of Forensic Artefact Acquisition solutions
• Understanding of the principles of telecommunications cybersecurity. Ability to lead the design of Wide Area Networks and relevant security controls.
• Understanding of the fundamental challenges of mobile device cybersecurity. Prior experience with Apple iOS forensic analysis techniques will be considered an asset.
• Experience in understanding, implementing and developing technical standards (pe. IETF RFC)
• Ability to leverage machine learning and data science algorithms to deliver advanced cybersecurity services.
Core Competencies
• Strong strategic, organisational, communication and negotiation skills.
• Ability to lead under pressure and in high-risk scenarios.
• Ability to present in front of large audiences (pe. Conferences) and share knowledge through trainings and workshops.
Eligibility and willingness to undergo a Security Clearence at EU-LEVEL SECRET is required for this role