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Data Scientist for Pricing

Pubblicato il 15-08-2026 - Altro in Milano

KEY RESPONSIBILITIES 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
Conduct research and development to find novel technical solutions
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)
NICE TO HAVE Knowledge of Spark
Experience in WTW suites (Radar, Emblem)
Practical experience in AI tools and frameworks (e.g., custom AI skills, agentic workflows, MCP, RAG pipelines)
Pursuant to Article 5(1) of Legislative Decree No. 96 of 7 May 2026, as amended and supplemented from time to time, the range applicable to the position offered is between € 40.000,00 gross and € 50.000,00 gross. 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. Caring for our employees

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