NLP & LLM Data Scientist

Job Description The Group Advanced analytics and Automation Solutions Unit is in charge of driving the execution of key Advanced Analytics projects at Group level, related both to AI‑driven automation and AI recommendations/predictions, and supporting local BUs where needed to implement local projects. The unit is also responsible for designing, implementing, and continuously improving the library of central shared analytics/automation services available for the BUs through a central platform. Natural language processing (NLP) & Large Language Models (LLM) Data Scientist, in charge of designing, developing, continuously improving and managing, in collaboration with various IT and internal structures, both the Python‑based library of reusable text processing algorithms (including data extraction and text classification) and the new LLM/LMM based algorithms. The ideal candidate should have around 1‑3 years of professional experience, be familiar with algorithms, machine‑learning model development, generative AI, and have hands‑on experience with Python (possibly also with an AWS environment and tools – nice‑to‑have). If you are passionate about Python development, have a strong algorithmic mindset, and thrive in a collaborative environment, we encourage you to apply. Responsibilities You will collaborate with cross‑functional teams to analyse business requirements and design robust and scalable solutions. You will develop, test, and maintain high‑quality Python code for various applications, ensuring optimal performance and reliability. You will implement and optimise algorithms to solve complex problems, demonstrating strong problem‑solving skills and knowledge of ML and AI (including generative). You will work closely with DevOps teams and the Digital Factory to deploy and manage applications on AWS infrastructure. You will participate in code reviews to ensure code quality, adherence to coding standards, and knowledge sharing within the team. You will troubleshoot and debug applications to identify and fix issues promptly. You will stay up‑to‑date with industry trends, best practices, and emerging technologies to continuously improve development processes. Requirements Degree in scientific disciplines (mathematics, computer science, engineering, physics). Strong problem‑solving skills (analysis of complex problems and structuring of solutions), creativity and determination. Excellent analytical and deductive skills, familiar with the design and evaluation of algorithms. Proven experience as Python Developer with 1‑3 years of hands‑on development experience. Proven experience as Data Scientist (at least 1 year) on text analytics use cases. Strong understanding of data structures, algorithms, and software design principles. Experience with cloud computing platforms, particularly AWS (Amazon Web Services). Familiarity with containerisation technologies, such as Docker. Solid understanding of version control systems, preferably Git. Effective communication skills and the ability to work collaboratively in a team environment. Good knowledge of written and spoken English (B2). Excellent propensity to work in a team, operational autonomy, proactivity, high level of commitment and result/output orientation. Nice to have AWS certifications. Experience with serverless computing. Company Profile Generali is a major player in the global insurance industry – a strategic and highly important sector for the growth, development and welfare of माध्य. Over almost 200 years, we have built a multinational Group that is present in more than 60 countries, with 470 companies and nearly 80,000 employees.字号> GOSP – Generali Operations ένας-% Service Platform is a joint‑venture between Generali and Accenture, providing IT and Procurement services to Generali Group companies. Our purpose is to accelerate the Group's innovation and digitisation strategy through the Cloud and shared platforms. Based in Italy, it has 5 branches across Europe and employs about 1,000 people. #J-18808-Ljbffr