Data Scientist for Pricing & Underwriting

Allianz; Lombardia; On-site; EUR 40,000 - 50,000; Full time

Job summary

Allianz Italia is seeking a data analytics professional to support data ingestion, cleaning, and transformation from multiple sources. You will perform exploratory analytics to identify patterns and generate business insights, and you will build dashboards and reporting solutions to monitor performance and support decision making.

The role also involves developing pricing and underwriting models, prototyping AI applications, and conducting R&D to explore novel technical solutions in a dynamic

Qualifications

• Master's degree in Information Technology, Mathematics, Physics, Statistics or equivalent.
• 4-7 years of experience in Insurance/Consulting or data analytics roles.
• Excellent knowledge of SQL and Python.
• Experience in developing statistical and ML models.
• Proficient with MS Word, Excel, and PowerPoint.
• Strong analytical, problem-solving and communication skills.
• Ability to interact in a global environment with colleagues from different countries and cultures.
• Fluent in English (written and spoken).

Responsibilities

• Ingest, clean and transform data from multiple sources.
• Explore data and perform analytics to identify patterns and insights.
• Build and maintain dashboards and reporting tools to monitor performance.

Skills

SQL

Python

Data analysis

Communication

Problem solving

Teamwork

English fluency

Education

Master's degree in IT/Math/Physics/Statistics

Tools

Spark

Radar

Emblem

AI frameworks

Job description

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, their ambitions, dreams and challenges is what makes us a unique employer.

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 around us.

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.

Both genders may apply in accordance with the L. 903/77 (s.m.i).