NLP & LLM Data Scientist

The Group Advanced Analytics and Automation Solutions Unit is responsible for executing key Advanced Analytics projects at the Group level, focusing on AI-driven automation, recommendations, and predictions. The unit also supports local Business Units (BUs) in implementing their projects and manages the development of a central library of shared analytics and automation services accessible via a central platform.

This role involves designing, developing, and continuously improving a Python-based library of reusable text processing algorithms, including data extraction and text classification, as well as developing LLM / LMM-based algorithms in collaboration with IT and other internal teams. The ideal candidate should have 1-3 years of professional experience, familiarity with algorithms, machine learning model development, generative AI, and hands-on Python experience (AWS experience is a plus). If you are passionate about Python development, possess a strong algorithmic mindset, and enjoy collaborative environments, we encourage you to apply.

• You will collaborate with cross-functional teams to analyze business requirements and design scalable solutions.
• You will develop, test, and maintain high-quality Python code for various applications, ensuring performance and reliability.
• You will implement and optimize algorithms to solve complex problems, demonstrating strong problem-solving skills and knowledge of ML and AI, including generative models.
• You will work with DevOps teams and the Digital Factory to deploy and manage applications on AWS infrastructure.
• You will participate in code reviews to ensure quality and adherence to standards.
• You will troubleshoot and debug applications to resolve issues promptly.
• You will stay updated on industry trends and emerging technologies to improve development processes.

Requirements

• Degree in mathematics, computer science, engineering, physics, or related fields.
• Strong problem-solving, analytical, and deductive skills.
• Proven experience as a Python Developer (1-3 years) and as a Data Scientist (at least 1 year) with text analytics use cases.
• Strong understanding of data structures, algorithms, and software design principles.
• Experience with AWS cloud platform and containerization technologies like Docker.
• Knowledge of version control systems, preferably Git.
• Effective communication skills and team collaboration ability.
• Proficiency in English (B2 level).
• High commitment, autonomy, proactivity, and results-oriented mindset.

Nice to have :

• AWS certifications.
• Experience with serverless computing.

Company Profile

Generali is a leading global insurance provider, operating in over 60 countries with nearly 80,000 employees. The company has a rich history of nearly 200 years and is committed to societal welfare and development.

GOSP – Generali Operations Service Platform, a joint venture with Accenture, provides IT and procurement services to the Group, focusing on innovation and digital transformation via cloud and shared platforms. Based in Italy, it has 5 branches across Europe and about 1,000 employees.

Company : Generali Italia

Qualifications : Language requirements : Specific requirements : Educational level : Level of experience (years) :

Senior (5+ years of experience)

Tagged as : Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, Unspecified

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