Data and AI Engineer for Global P&C Team
4 settimane fa
Global P&C Pricing team is responsible for identifying, supporting implementation and ensuring standards, best practices and guidelines for data management, tariff development, portfolio analysis and monitoring. Specifically, the team oversees:
- Joint projects with the Allianz local entities around the world: we collaborate with local entities on pricing projects concerning mainly technical pricing, behavioural models, price optimization, scenario analysis, development of pricing and portfolio management tools.
- Research and development on Data & Analytics and tools to enhance the level of sophistication always considering the business relevance and impact
- Knowledge sharing and training of best practices: we design and facilitate P&C Pricing Academy courses to the wide community of pricing analyst of Allianz Group.
- Review activities: periodically we review the full pricing process of each local entity to ensure the standardization and harmonization of pricing processes and the implementation of best practices across the group.KEY RESPONSIBILITIES- Engage in collaborative efforts with the data science team to comprehend data requirements and develop robust data models, effectively visualizing key data insights for impactful storytelling.
- Enhance business processes by proficiently managing the lifecycle of data and AI models, ensuring their relevance and accuracy over time.
- Architect, construct, and launch innovative data extraction, transformation, and loading processes to craft data pipelines and dashboards, utilizing advanced object-oriented programming languages and modern web frameworks.
- 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.
- Synthesize complex data findings and communicate them clearly, ensuring that both internal and external stakeholders receive understandable and actionable insights.KEY REQUIREMENTS/SKILLS/EXPERIENCE- Master’s degree in Computer Engineering, Data Engineering, or a closely related field.
- Preferably 1-2 years working experience in a Data Engineering roleKnowledge in SQL, ETL processes, data modeling, and programming language (e.g. Python, Julia)Experience with DataOps practices, contributing to the continuous improvement of data workflows.Knowledge of Cloud Services including AWS, GCP, Azure, and their application in data engineering tasks.Familiarity with MLOps concepts and tools like MLFlow to streamline machine learning lifecycle management.Competent with Linux environments, version control using GIT, and automation tools like Jenkins.Proficient understanding of both SQL and NoSQL database technologies.Experience with containerization and orchestration technologies such as Docker and Kubernetes.- Fluency in Italian and English
- Excellent communication skills
- Willingness to travel internationally for business needs.
- International exposure through academic or professional experiences.
- Demonstrated ability to work effectively as part of a diverse, multidisciplinary team.
48853 | Data & Analytics | Entry Level | Allianz Italy | Full-Time | PermanentAllianz 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. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us.
We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Join us. Let's care for tomorrow.Both genders may apply in accordance with the L. 903/77 (s.m.i).
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