Data Scientist, Sr.

Senior Data Scientist / AI Engineer

Description:
As a Senior Data Scientist or AI Engineer, you will be helping in designing and developing an advanced multi-agent system to support the triage of security incidents. While cybersecurity experience is appreciated, it is not required for this role.

Education

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Equivalent experience may be considered in lieu of formal education.

Desired certifications, courses and training

• Certifications in Data Science, AI, or Machine Learning (e.g., Azure AI Engineer, AWS Machine Learning, or similar) or any additional credentials in automation, agent-based systems, or related areas are valued.

Technical Capabilities

• Proven experience designing, building, and deploying agent-based AI systems, including orchestration of multiple agents and integration with diverse tools, protocols (e.g., MCP), and data sources.
• Hands-on expertise with large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI techniques for workflow automation and decision support.
• Deep understanding of agent toolchains, agent orchestration frameworks, and best practices for integrating and scaling agent-based architectures in enterprise environments.
• Strong proficiency in Python and relevant programming languages for developing, integrating, and automating AI solutions.
• Practical experience with containerization and deployment technologies such as Docker and OpenShift familiarity with MLflow or similar platforms for model lifecycle management is highly valued.
• Demonstrated ability to operationalize and maintain AI agents, including monitoring, troubleshooting, and continuous improvement in production environments.
• Experience integrating agent-based systems with enterprise protocols and APIs, ensuring robust, secure, and scalable solutions.

Organisational skills and competences

• Ability to work effectively with cross-functional teams, including project stakeholders and technical experts.
• Strong written and verbal communication skills to document system designs and present findings to both technical and non-technical audiences.
• Excellent troubleshooting and analytical skills for developing creative solutions to complex challenges.
• Willingness to stay current with industry trends, technologies, and best practices in AI and automation.
• High level of precision in designing, tuning, and evaluating models and agent workflows to ensure reliable outcomes.

Languages

• English (High level)

Experience (5+ years preferred)

• Minimum of 5 years in data science, AI engineering, or related roles.
• Demonstrated success in developing and refining agent-based systems and machine learning models for decision support in enterprise environments.

Key Responsibilities

• Design and maintain multi-agent architectures for triage and decision support.
• Develop and refine machine learning models to assess and score incidents.
• Integrate and orchestrate various tools and agents to automate and enrich the triage process.
• Collaborate with project teams to ensure effective implementation and alignment with project goals.
• Document system logic, workflows, and findings for stakeholders.