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# Threat Intel Data Scientist | Cyber

- **Company:** Deloitte
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Information Engineering, Data Infrastructure, Data Visualization, Data Intelligence, Python (Programming Language), Machine Learning, Search Technologies, SQL Databases, Unstructured Data, Google Cloud, Cloud Platform System, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Generative AI, Cyber Threat Analysis, Git, Machine Learning Operations, Api Design, Data Pipelines, Databricks
- **Published:** July 27, 2026
- **Apply:** https://empleo.es.deloitte.com/talentcommunity/apply/1419230633/?locale=es_ES

## About the Role

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.

## Description

* 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.


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