Threat Intel Data Scientist | Cyber

• Design, develop, and continuously improve AI and Machine Learning solutions to support cybersecurity analysts and intelligence-driven decision making.
• Transform, normalize, and enrich intelligence data from multiple internal and external sources into the Threat Intelligence Platform (TIP) and related intelligence tools.
• Apply Data Science, AI, and Generative AI technologies (LLMs, RAG, semantic search, embeddings, prompt engineering, etc.) to automate and enhance threat intelligence products and analytical workflows.
• Analyze large-scale structured and unstructured datasets to identify patterns, relationships, anomalies, and emerging cyber threats through advanced analytics, correlation, and clustering techniques.
• Identify and integrate new intelligence data sources to enrich cyber threat analysis and improve analytical capabilities.
• Create and maintain technical documentation and SOPs to support scalable and well-governed solutions.

Candidates with backgrounds in Data Science, Artificial Intelligence, Machine Learning, Analytics, Engineering, Research, or related fields are encouraged to apply. Prior cybersecurity experience is a plus but not required, as domain knowledge can be developed through collaboration and training., * 4+ years of experience in Data Science, Machine Learning, Analytics, Data Engineering, or similar technical fields.

• Strong programming skills in Python and SQL, including experience working with APIs and data processing pipelines.
• Hands-on experience developing and deploying Machine Learning and AI solutions, with a solid understanding of statistical modeling and large-scale data analysis.
• Experience with Generative AI technologies, including LLMs, prompt engineering, RAG, embeddings, semantic search, or related AI applications.
• Experience working with large structured and unstructured datasets and communicating analytical insights through data visualization.
• Familiarity with cloud environments such as Azure, AWS, or Google Cloud Platform.
• Experience with modern data platforms and development practices (e.g., Databricks, Spark, Snowflake, Vector Databases, Git, MLOps/LLMOps) is a plus.
• Exposure to cybersecurity, threat intelligence, or security analytics is beneficial but not required.
• Excellent analytical, problem-solving, and communication skills, with professional proficiency in English.

️ Hybrid and flexible working model, with flexible hours and a healthy balance between remote work and collaboration in our offices or at client sites.

A positive and collaborative work environment, with team-building activities, cultural and sports events throughout the year.

️ Holistic wellbeing, supported by our physical, mental, and financial health programs, including on-site medical services.

Social impact, with access to a wide range of national and international volunteering initiatives and pro bono projects where you can contribute your time and talent.

️ A strong feedback culture and continuous learning, within an inclusive environment that promotes equal opportunities and personalized development plans. You may even see yourself at Deloitte University in Paris.

Exclusive benefits, including a comprehensive benefits portfolio and a flexible compensation plan.

Next steps:

If what you have read resonates with you, here is what comes next:

• Apply to the position by clicking “Apply now” and completing your profile.
• If your experience matches the role, our Talent team will contact you to get to know you better.

Start your journey with Deloitte. We will guide you through each stage of the process until your onboarding.

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Can you imagine taking part in the transformation of leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and our people.

As part of the Global Centralized Cybersecurity Threat Intelligence team, the Data Scientist reports to the Processing and Data Science Manager and is part of the Operations function.

In this role, you will design and develop AI-driven solutions to automate the processing, normalization, enrichment, and analysis of internal and external threat intelligence data. You will work with large-scale structured and unstructured datasets, applying Data Science, Machine Learning, and Generative AI to improve cybersecurity intelligence products and analytical workflows used across Deloitte globally., Deloitte Technology operates at the forefront of innovation, supporting and protecting Deloitte globally through advanced technology solutions. We foster a collaborative, global environment where innovation and continuous learning drive meaningful impact.