Data Scientist, Cyber Threat Intelligence

As a Data Scientist in the Cyber Operations department at Maersk, your role involves turning data into actionable insights by leveraging tools, statistical models, AI, and Machine Learning. Your primary responsibility will be to contribute to the design and delivery of data engineering and integrations capabilities to automate workflows and generate intelligence from security data at scale. You will work closely with the Head of Cyber Threat Intelligence (CTI) and other CTI Analysts and Data Scientists to provide informative and actionable insights from large datasets. Key Responsibilities: - Accountable for the effective collection, processing, and analysis of large datasets to generate informative and actionable insights. - Identify patterns, trends, and anomalies in security tooling using AI and data science techniques to inform decision-making. - Host, manage, and interrogate databases to deliver automated and ad hoc reporting requests on security data. - Develop and refine causal inference, predictive, statistical, and machine learning models for threat detection and intelligence generation. - Produce daily visual management dashboards using real-time data for cross-team collaboration and issue identification. - Facilitate performance tracking against KPIs for continuous improvement and operational reporting. - Disseminate curated data via secure APIs and MCP servers, and present work products in stakeholder's desired format. - Scope and respond to Requests for Information (RFIs) by providing timely data and analysis outputs. - Develop and maintain the use of LLMs for Cyber Security use cases. - Enhance threat intelligence capabilities through automation and AI-assisted analysis. - Build and maintain data ingestion pipelines and connectors for cyber data sources. - Implement engineering quality practices for pipelines and services. Qualification Required: - Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or related discipline. - Certification or formal training in analytics engineering or data modeling. - Cloud certification or training in AWS or equivalent platforms. - Certification or formal training in Applied AI or Generative AI fundamentals. - Proficiency in SQL queries, Data Science/Machine Learning using Python or similar languages, data visualization tools, and cloud fundamentals. - Strong data engineering and analytics fundamentals, familiarity with integration frameworks, and understanding of the intelligence lifecycle. Additional Company Details (if applicable): Maersk values diversity and strives to recruit the best talent regardless of gender, age, nationality, race, sexual orientation, disability, or religious beliefs. The company is committed to creating a diverse and inclusive workplace. Maersk is an equal opportunities employer and welcomes applicants from all backgrounds. Accommodations can be provided during the application and hiring process upon request. As a Data Scientist in the Cyber Operations department at Maersk, your role involves turning data into actionable insights by leveraging tools, statistical models, AI, and Machine Learning. Your primary responsibility will be to contribute to the design and delivery of data engineering and integrations capabilities to automate workflows and generate intelligence from security data at scale. You will work closely with the Head of Cyber Threat Intelligence (CTI) and other CTI Analysts and Data Scientists to provide informative and actionable insights from large datasets. Key Responsibilities: - Accountable for the effective collection, processing, and analysis of large datasets to generate informative and actionable insights. - Identify patterns, trends, and anomalies in security tooling using AI and data science techniques to inform decision-making. - Host, manage, and interrogate databases to deliver automated and ad hoc reporting requests on security data. - Develop and refine causal inference, predictive, statistical, and machine learning models for threat detection and intelligence generation. - Produce daily visual management dashboards using real-time data for cross-team collaboration and issue identification. - Facilitate performance tracking against KPIs for continuous improvement and operational reporting. - Disseminate curated data via secure APIs and MCP servers, and present work products in stakeholder's desired format. - Scope and respond to Requests for Information (RFIs) by providing timely data and analysis outputs. - Develop and maintain the use of LLMs for Cyber Security use cases. - Enhance threat intelligence capabilities through automation and AI-assisted analysis. - Build and maintain data ingestion pipelines and connectors for cyber data sources. - Implement engineering quality practices for pipelines and services. Qualification Required: - Bachelors degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or related discipline. - Certific