A.I. Analyst - GenAI - Freelance

Context

The candidate will join the Program Management Life Department, within the Life Digital Solutions team. This team is responsible for driving digital initiatives within the Life business line, with a strong focus on the adoption and implementation of AI-powered solutions. Its mission includes defining a clear and structured roadmap in close alignment with all stakeholders (business & IT), ensuring the successful delivery of tangible and meaningful outcomes, along with the monitoring and continuous improvement of these initiatives, in collaboration with all other AI teams across AG. In addition, the team plays a key role in promoting AI awareness and fostering a strong understanding of AI across the Life department, supporting the development of an internal community around these topics.

Missions

• Structured, rigorous, and well-organized approach
• Strong sense of ownership and autonomy
• Excellent communication and facilitation skills (business & IT)
• Team player
• Strong analytical thinking and problem-solving skills
• Ability to manage priorities and work under tight deadlines
• Curious mindset with strong interest in AI topics
• Pragmatic and solution- and value-delivery oriented
• Experience as Business Analyst and/or Project Lead in AI & Analytics projects
• Experience delivering end-to-end AI projects
• Experience with LLM/RAG/NLP/MLT implementation
• Experience translating business needs into functional requirements
• Product-oriented mindset
• Experience in coordinating end-to-end delivery (analysis, testing, deployment, continuous improvement)
• Understanding of AI fundamentals & AI solutions architecture (e.g., LLM, GenAI, ML, Deep Learning, NLP, etc.)
• Programming skills (Python, SQL, etc.)
• AI prompting experience
• Use of MS Office 365, Copilot M365
• Use of PowerBI, Azure DataBricks, Azure DataLake
• AI product implementation
• Business & functional analysis (process flows, user journeys, data flows)
• Creation of business functional analyses (process flow, screen, data flow, etc.)
• Writing clear user stories & acceptance criteria
• Defining testing strategy, executing and coordinating user testing
• Data science
• BPMN modeling

Tools & Environment

• LLM (Large Language Models) – Confirmed level
• Data Lake – Confirmed level
• DataBricks – Confirmed level
• GenAI – Confirmed level
• MS Office 365, Copilot M365
• PowerBI
• Azure DataBricks
• Azure DataLake
• Programming languages: Python, SQL