We have a new opportunity for a Data Scientist to join the the team of the Chief Protection Officer.

KEY RESPONSIBILITIES

Engage in collaborative efforts with the business teams to comprehend data requirements and develop robust architectures and data models
Enhance business processes by proficiently managing the lifecycle of data and AI models, from extraction to visualization
Build and maintain robust data pipelines, transforming raw data into high-quality datasets to serve advanced analytics and dashboarding for business intelligence initiatives
Maintain and improve existing production processes by identifying and implementing optimized, scalable solutions
Contribute to Research and Development initiatives to discover and integrate cutting-edge technical solutions that propel the organization forward

KEY REQUIREMENTS/SKILLS/EXPERIENCE

Master’s Degree in Computer Science, Data Science, STEM disciplines, Computer Engineering, Data Engineering or a closely related field.
5-7 years working experience in Data Science/Engineering




Solid experience handling and manipulating large datasets with Big Data frameworks, especially PySpark, or cloud platforms (e.g.Azure, AWS)
Knowledge in SQL and Oracle databases
Proficiency in Python and its core data science libraries (Pandas, NumPy, Scikit-Learn)
Knowledge in designing, developing and validating Machine Learning models and statistical algorithms to solve concrete and complex business problems
Experience using Power BI for advanced reporting (nice to have)
Fluency in Italian and English, written and spoken
Excellent communication and storytelling skills (ability to explain complex models to both technical and non-technical audiences)
Demonstrated ability to work effectively as part of a multidisciplinary team
Willingness to be versatile and actively participate in different projects across the data lifecycle

Pursuant to Article 5(1) of Legislative Decree No. 96 of 7 May 2026, as amended and supplemented from time to time

📌 Data Engineer (Milano)
🏢 Allianz Italia
📍 Milano