Data Pricing Specialist at Allianz Direct Spain

Allianz; Madrid; Presencial; Confidencial; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

None

Descripción de la vacante

Allianz Direct in Madrid is seeking a Data Pricing Specialist to design, develop, deploy, and monitor advanced data solutions that support pricing strategies, product development, underwriting and analytics.Your focus will be on ensuring robust data foundations, building scalable data pipelines, and applying advanced analytics and machine learning techniques to continuously improve pricing sophistication and decision-making.

Formación

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Solid programming skills in Python and SQL, with experience using version control systems (Git).
• Experience in data engineering tools (ETL/ELT frameworks, Databricks, Airflow, dbt, Spark, etc.) and cloud platforms (Azure, AWS, or GCP).
• Strong foundation in machine learning and statistical modeling.
• Experience with data visualization & BI tools (Power BI, Tableau, or similar).
• Knowledge of insurance or financial services pricing concepts is a strong plus.
• Familiarity with specialized pricing software (Radar, Earnix, Akur8, Quantee) is desirable but not mandatory.
• Professional proficiency in English.
• Strong problem-solving skills, curiosity, and ability to explain complex data insights to diverse stakeholders.

Responsabilidades

• Build, automate, and maintain data pipelines to support pricing and analytics needs.
• Ensure high data quality, consistency, and accessibility across multiple internal and external sources.
• Implement monitoring solutions for data integrity and pipeline performance.
• Support the development of pricing models (risk, demand, elasticity, optimization, LTV, etc.) through data preparation and feature engineering.
• Apply advanced statistical methods and machine learning techniques to improve model performance and business insights.
• Industrialize and deploy models into production environments in collaboration with tech and actuarial teams.
• Identify and integrate new data sources (internal & external) to enhance pricing capabilities.
• Develop business monitoring tools, KPIs, and dashboards for pricing, underwriting, and data performance tracking.
• Ensure compliance with Allianz Group’s methodological standards and governance requirements.
• Partner closely with Pricing, Product, Underwriting, and Business Analytics teams to translate data insights into strategic actions.
• Present technical results to non-technical stakeholders, bridging the gap between data science and business impact.
• Drive innovation in data practices, continuously exploring new methodologies, tools, and technologies.

Conocimientos

Python

SQL

Machine Learning

Data Visualization

English

Problem Solving

Educación

Degree in Data Science/CS/Statistics

Herramientas

Databricks

Airflow

dbt

Spark

Power BI

Tableau

Radar

Earnix

Akur8

Quantee

Git

Azure

AWS

GCP

Descripción del empleo

Job Start: asap
Job Type: Full Time / Permanent
Non-executive position
Internal Applicants preferred period: 17.09.2025 - 01.10.2025

About us:

The world around us is changing rapidly and so is the insurance industry. Now’s the right time to make a bold move and shape the future of insurance – this is Allianz Direct! As a pan-European online insurer of the Allianz Group, launched in 2019, Allianz Direct is on its mission to become the most customer-oriented and efficient insurer on the market. Allianz Direct is truly changing the face of insurance, in customer experience, and in technology, processes, people and culture.
An international team of business experts and engineers who live and breathe an agile way of working, are seeking to improve and change the way you do insurance. Driven by customer obsession and love for data, Allianz Direct strives for delivering an exceptional experience with a personal touch.
So, what makes Allianz Direct so unique? We believe in the power of simplicity and convenience and by doing so we have managed to set new standards when it comes to online insurance. We are a fast-growing technology company with an insurance license.

Job Purpose/Role:

As a Data Pricing Specialist at Allianz Direct, you will play a key role in enabling data-driven pricing excellence. You will design, develop, deploy, and monitor advanced data solutions and models to support pricing strategies, product development, underwriting, and business analytics.Your focus will be on ensuring robust data foundations, building scalable data pipelines, and applying advanced analytics and machine learning techniques to continuously improve pricing sophistication and decision-making.
This role sits at the intersection of data engineering, data science, and pricing analytics, and is pivotal in driving Allianz Direct’s ambition to be the industry benchmark in digital insurance.

Key Responsibilities:

Data Engineering & Pipelines

• Build, automate, and maintain data pipelines to support pricing and analytics needs.


• Ensure high data quality, consistency, and accessibility across multiple internal and external sources.


• Implement monitoring solutions for data integrity and pipeline performance.

Analytics & Modeling

• Support the development of pricing models (risk, demand, elasticity, optimization, LTV, etc.) through data preparation and feature engineering.


• Apply advanced statistical methods and machine learning techniques to improve model performance and business insights.


• Industrialize and deploy models into production environments in collaboration with tech and actuarial teams.

Data Innovation & Governance

• Identify and integrate new data sources (internal & external) to enhance pricing capabilities.


• Develop business monitoring tools, KPIs, and dashboards for pricing, underwriting, and data performance tracking.


• Ensure compliance with Allianz Group’s methodological standards and governance requirements.

Collaboration & Impact

• Partner closely with Pricing, Product, Underwriting, and Business Analytics teams to translate data insights into strategic actions.


• Present technical results to non-technical stakeholders, bridging the gap between data science and business impact.


• Drive innovation in data practices, continuously exploring new methodologies, tools, and technologies.

Qualifications/Key skills:

• Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.


• Solid programming skills in Python and SQL, with experience using version control systems (Git).


• Experience in data engineering tools (ETL/ELT frameworks,Databricks, Airflow, dbt, Spark, etc.) and cloud platforms (Azure, AWS, or GCP).


• Strong foundation in machine learning and statistical modeling.


• Experience with data visualization & BI tools (Power BI, Tableau, or similar).


• Knowledge of insurance or financial services pricing concepts is a strong plus.


• Familiarity with specialized pricing software (Radar, Earnix, Akur8, Quantee) is desirable but not mandatory.


• Professional proficiency in English.


• Strong problem-solving skills, curiosity, and ability to explain complex data insights to diverse stakeholders.

82147 | Actuarial | Professional | PG10 | Allianz Direct | Full-Time | Permanent