Job DescriptionThe 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.
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 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
RequirementsOur ideal candidate will meet the following 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 haveAWS certifications
Experience with serverless computing
Company ProfileGenerali 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 digitisation strategy through the Cloud and shared platforms.
Based in Italy it has 5 branches across Europe and employs about 1,000 people.
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