ppWithin the Group Data, Artificial Intelligence and Automation department, we are looking for a highly experienced Data Scientist / Data Engineer to lead AI Validation and Governance across both traditional Machine Learning and next-generation Generative and Agentic AI systems. /p pThe Lead AI Validation Governance (GenAI ML) will play a pivotal role in defining, implementing, and scaling the Group's AI governance and model risk framework, ensuring that AI systems are robust, explainable, compliant, and fit for purpose in business‑critical contexts. /p pThis role sits at the intersection of AI model validation, model risk management, and Responsible AI, providing independent oversight and technical leadership across the entire AI lifecycle—from design and development to deployment, monitoring, and periodic review. /p pIn addition to its strategic and governance responsibilities, this role is expected to remain strongly hands‑on, actively contributing to the design, validation, and testing of AI models and systems. /p pThe ideal candidate combines deep technical expertise with a pragmatic mindset, and is comfortable developing and reviewing model validation code; working directly with ML and GenAI pipelines; building prototypes, validation tools, and monitoring solutions; interacting with data, models, and APIs in a production‑oriented environment. /p h3Key responsibilities /h3 ul liPerform independent validation and challenge of AI/ML and agentic/Generative AI systems across the full lifecycle, including model design, data quality, and performance (accuracy, robustness, explainability, fairness). /li liAlign validation and governance practices with applicable regulations (e.g., EU AI Act), internal guidelines, and risk appetite, translating requirements into operational processes and controls. /li liIdentify and assess key risks (bias,



explainability, compliance), and define appropriate validation controls and mitigation actions. /li liDefine and implement continuous monitoring and alerting mechanisms for AI systems in production (e.g., data/performance drift, emerging risks such as GenAI hallucinations). /li liEnsure ongoing compliance through lifecycle oversight, including periodic re‑validation of models. /li liDesign and implement reusable functionalities to enable scalable governance and monitoring of AI models and agents. /li liCollaborate with data scientists, engineers, and cross‑functional stakeholders, acting as a second line of defense to challenge assumptions and strengthen decision‑making. /li liMaintain robust documentation and support audit and regulatory reviews, while contributing to standards, templates, and best practices. /li /ul h3Requirements /h3 ul liStrong expertise in machine learning, Generative AI and agentic AI, with solid knowledge of AI lifecycle frameworks and validation/governance practices. /li li4–7+ years of experience in AI/ML validation, model risk, or AI governance preferably within structured or regulated environments. /li liAdvanced Python programming skills (object‑oriented design) with hands‑on experience in core data science libraries (e.g., pandas, scikit‑learn, LightGBM). /li liProven ability to develop clean, modular, maintainable code, with strong focus on robustness, reproducibility, and quality.



/li liHigh autonomy and proactivity, with strong collaboration skills and good understanding of regulatory frameworks (e.g., EU AI Act), explainability tools, and modern AI architectures. /li liItalian and English working proficiency. /li /ul h3Soft skills /h3 ul liAnalytical thinking, risk mindset, communication skills, ability to challenge assumptions, strong documentation discipline. /li liAbility to work independently and as part of a team, collaborating with individuals with diverse mindsets. /li liProficiency in multitasking and managing dynamic deadlines. /li liWillingness to learn new technological and complex topics and to continuously challenge oneself. /li /ul h3Benefits /h3 pGross annual salary ranging between 43 000 € and 55 000 €, with a variable component possible; final offer aligned with experience, skills, and relevance. Employment at the VI level with the relevant salary, in accordance with the CCNL ANIA for non‑executive employees and the Generali Group Company Agreement. /p ul liSmart working and flexible hours. /li liCorporate welfare system. /li liMeal vouchers. /li liSupplementary health insurance and discounted insurance policies. /li liWellbeing initiatives. /li liTraining and development. /li liStructured continuous learning paths (technical and managerial). /li liCareer development programs within the Group. /li liAccess to learning platforms and internal mobility opportunities, including international. /li /ul h3EEO statement /h3 pAs an Equal Opportunity Employer, Generali evaluates all applications exclusively on objective and gender‑neutral criteria, based on skills, experience, and potential, ensuring fairness and transparency throughout the selection process. /p /p #J-18808-Ljbffr

📌 Lead AI Validation & Governance (GenAI & ML) (Italia)
🏢 Generali Italia
📍 Italia