SENIOR DATA SCIENTIST GEN AI | BARCELONA, ES
Descripción de la oferta de empleo
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.
., 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.
., 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...
| 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.
Detalles de la oferta
- Allianz
- Sin especificar
- 24/10/2024
- 22/01/2025
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