NLP & LLM Data Scientist

Generali Italia; Turbigo; In loco; EUR 35.000 - 55.000; Tempo pieno

Descrizione del lavoro

A leading insurance company in Turbigo is seeking a Natural Language Processing and Large Language Models Data Scientist. The successful candidate will design and improve Python-based text processing algorithms and collaborate with cross-functional teams to implement innovative solutions. Ideal for those with 1-3 years of experience, strong problem-solving skills, and a passion for machine learning. The role offers the opportunity to work in a dynamic environment focusing on advanced analytics and automation projects.

Competenze

• 1-3 years hands-on development experience with Python.
• Proven experience as Data Scientist focusing on text analytics.
• Strong understanding of algorithms and software design principles.

Mansioni

• Collaborate with teams to analyze business requirements.
• Develop, test, and maintain high-quality Python code.
• Implement and optimize algorithms for complex problems.
• Work with DevOps to manage applications on AWS infrastructure.
• Participate in code reviews and troubleshoot applications.
• Stay updated on industry trends and best practices.

Conoscenze

Python Development

Machine Learning

Data Structures

Problem Solving

Collaboration

English (B2)

Formazione

Degree in scientific disciplines (mathematics, computer science, engineering, physics)

Strumenti

AWS

Docker

Git

Descrizione del lavoro

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 support 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 the various IT and internal structures, both the Python-based library of re-usable 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 hands-on experience with python (possibly also with 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 optimize algorithms to solve complex problems, demonstrating strong problem-solving skills and knowledge of ML and AI (including generative one)
• 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 on 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 containerization 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 modern societies. 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.

GOSP - Generali Operations Service Platform is a joint-venture between Generali and Accenture and provides IT and Procurement services to Generali Group companies. Our purpose is to accelerate the Group's innovation and digitization strategy through the Cloud and shared platforms. Based in Italy it has 5 branches across Europe and employs about 1.000 people.