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Machine Learning and Data Scientist

Pubblicato il 15-08-2026 - Altro in Italia

Support data ingestion, cleaning, and transformation processes from multiple sources
Perform data exploration and advanced analytics to identify patterns, trends, and business insights
Build and maintain dashboards and reporting solutions to monitor performance and support decision making
Develop pricing and underwriting models
Design and prototype AI applications
KEY REQUIREMENTS/SKILLS/EXPERIENCE

~4-7 years of previous experience in Insurance/Consulting companies or in roles focused on data analysis
~ Master 's degree in Information Technology, Math, Physics, Statistics, or equivalent
~ Excellent knowledge of SQL and Python
~ Experience in developing statistical and machine learning models
~ Proficient with MS Word, Excel, and PowerPoint
~ Strong analysis, problem-solving, and communication skills
~ Team spirit, self-motivation, and a proactive result-driven working style as well as ability to interact in a global work environment with people from different countries and cultures
~ Fluent in English (both written and spoken)

Knowledge of Spark




Experience in WTW suites (Radar, Emblem)
Practical experience in AI tools and frameworks (e.custom AI skills, agentic workflows, MCP, RAG pipelines)
Employment will be subject to the terms and conditions set forth in the National Collective Labor Agreement for Insurance Companies and the applicable Company Agreement. The final determination of the starting remuneration will be based on an evaluation of the candidate 's qualifications, skills, and relevant experience in relation to the requirements of the role
Allianz Group is one of the most trusted insurance and asset management companies in the world. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world

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