Data Scientist For Pricing & Underwriting

Allianz Direct Vers. Ag - Succursale Mil; Lombardia; On-site; EUR 40,000 - 50,000; Full time

Job summary

Allianz Direct Vers. Ag - Succursale Mil is seeking a Data Scientist for Pricing & Underwriting to support data pipelines, build models, and develop AI-enabled solutions. The role requires strong SQL/Python skills, experience with ML models, and effective communication in English.

The position includes creating dashboards, performing advanced analytics, and collaborating with a global team. A Master's degree and Insurance domain experience are preferred.

Qualifications

• Master's degree in IT, Math, Physics or Statistics or equivalent.
• 0,
• Strong knowledge of SQL and Python is required.
• Experience in developing statistical and machine learning models.
• Proficiency with MS Word, Excel, and PowerPoint.

Responsibilities

• Support data ingestion, cleaning, and transformation from multiple sources.
• Perform data exploration to identify patterns and insights.
• Build dashboards and reporting to monitor performance and support decisions.
• Develop pricing and underwriting models.

Skills

SQL

Python

Statistical ML models

MS Office

Communication

English

Education

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

Tools

Spark

Radar

Emblem

AI tools

Job description

Data Scientist for Pricing & Underwriting

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.

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

Join us. Let's care for tomorrow.