Senior Data Scientist Gen AI

Join us at Allianz and become a part of a team that is making a difference in people's lives.

We're seeking individuals with a passion for data science and a drive to deliver insights that truly help people during their toughest times.

What are you going to do at Allianz?

• Develop and Industrialize Models: Develop and industrialize end-to-end Artificial Intelligence models (e.g., CLTV, credit scoring, cross-sell) integrated into operational processes, as well as maintain and test new features or potential model improvements.
• Apply LLMOps Methodologies: Define and apply LLMOps methodologies and technical procedures for AI Compliance.
• Develop GenAI Solutions: Design, train, and optimize generative AI models (e.g., GPT-3, DALL-E) to create innovative solutions for various business needs using techniques such as Prompt Engineering, Retrieval-Augmented Generation (RAG), and others.
• Collaborate Across Teams: Collaborate closely with other technical and business teams to identify opportunities for applying AI and GenAI models in the insurance and finance context.
• Contribute to Strategy: Contribute to the Data & Analytics strategy by identifying new opportunities and trends in the field of data science and generative AI.

What does Allianz need from you?

• Experience: At least 2-3 years of work experience in AI positions.
• Education: Academic background in STEM disciplines (Science, Technology, Engineering, and Mathematics) with a master's or doctoral degree.
• Technical Knowledge: 
  • Deep knowledge of cloud technologies, especially in the Azure environment, including Azure Data Lake Storage (ADLS), Synapse Analytics, and Azure Machine Learning (AzureML).
  • Experience with OpenAI API in Azure for integrating and deploying generative AI solutions.
  • Experience with token processing tools like Haystack or similar for managing and optimizing token usage in AI models. 
• GenAI Expertise: Experience with generative AI models, such as GPT-3, DALL-E, or similar, and their practical applications, including techniques like Prompt Engineering and Retrieval-Augmented Generation (RAG).
• Sector Experience: Experience in the financial/insurance sector is a plus.
• Communication Skills: Excellent communication skills and ability to work in a team.
• Leadership: Ability to lead projects and supervise other team members.
• Problem-Solving: Skills in solving complex problems and results-oriented.
• Adaptability: Results-oriented and able to work in a dynamic and innovation-driven environment.

What does Allianz offer you? 

• A hybrid working model; 

• Offices that adapt to your needs, with a smart working model and collaborative spaces; 

• Flexible hours so that you can have a good balance between your personal and work life; 

• Specific training in your field of activity and You Learn We Pay program; 

• Multiple employee discounts in sports centers - mens sana in corpore sano; 

• Financial compensation for lunch and teleworking expenses; 

• Special prices in our insurance products for you and your family; 

• Many more benefits... 

52834 | Data & Analytics | Profesional / Senior | Non-Executive | Allianz Spain | Jornada completa | Indefinido

El Grupo Allianz es una de las compañías asesguradoras y de gestión de activos de mayor confianza en el mundo. Cuidar a nuestros empleados, sus ambiciones, sueños y desafíos, es lo que nos convierte en un empleador único. Juntos podemos construir un entorno en el que todos se sientan empoderados y con la confianza para explorar, crecer y dar forma a un futuro mejor para nuestros clientes y el mundo que nos rodea.
En Allianz creemos en una plantilla diversa e inclusiva y estamos orgullosos de ser un empleador que ofrece igualdad de oportunidades. Te animamos a dar lo mejor de ti en el trabajo, sin importar de dónde eres, tu aspecto, a quién amas o en qué crees.
Por lo tanto, consideramos solicitudes de empleo independientemente de su origen étnico o cultural, edad, género, nacionalidad, religión, capacidad diferente u orientación sexual.
Únete a nosotros. Let´s care for tomorrow.