At Deloitte, we are committed to making an impact on society, our clients, and our people.
As part of the Integral 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.

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.

We foster a collaborative, global environment where innovation and continuous learning drive meaningful impact.
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.) Identify and integrate new intelligence data sources to enrich cyber threat analysis and improve analytical capabilities.




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 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 .

What is it like to work at Deloitte?
High-impact projects offering long-term growth and continuous learning opportunities.
☯️ 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.
♀️ 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.
️ We will guide you through each stage of the process until your onboarding.

📌 Threat Intel Data Scientist (Madrid)
🏢 Deloitte
📍 Madrid