Data Scientist - Apprenticeship

Key Skills

AI technology, Cloud computing, Generative AI, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), Python Programming, R Programming, SQL

Job Description

Create a better tomorrow with us.

We are looking for an Apprentice for the Information Technology team in Milan who will be trained for 2 years as a Data Scientist.

We have lots of ideas about how to successfully drive digitalization in companies. For example, with open cloud platforms, highly developed security systems, and clever tools for developers. What is your role in this? Move the world from behind the scenes with your IT expertise and passion for game-changing information technology.

During the apprenticeship you will receive a comprehensive and state-of-the- art training to develop your personal and professional skills and you will have the support of a mentor to achieve your career steps

Siemens is a focused technology company, pioneering intelligent solutions that transform the everyday in manufacturing, grids, buildings, and transportation. Our technology addresses real problems that affect the future of humanity.

You love to create an impact? From Day 1 you are empowered to make a difference for a better tomorrow with your full potential and creativity.

Your Challenge

As a Data Scientist you will be part of an international team of data scientists and machine learning engineers with diverse backgrounds with scope to accelerate Siemens internal digitalization utilizing AI and data analytics methods. Some of your main activities will be:

• To interact regularly with internal customers across Siemens as project responsible and assist them in making business decisions.
• To support the full application lifecycle starting with first ideation workshops over successful prototypes until the go live of an enterprise-ready application.
• To drive pragmatic approaches to solve complex business problems by leveraging your machine learning, NLP, and generative AI expertise.
• To design and implement ready-for-production MLOps pipelines.
• To perform systematic qualitative and quantitative evaluation of the ML algorithms, as well as to establish software performance monitoring
• To be a partner of diverse groups within Siemens, e.g., business, technology, information security, finance, risk, law, and compliance.

Required entry qualifications:

• You have less than 30 years of age, in accordance with the Italian apprenticeship contract
• You have a strong academic background (degree in Data Science, Computer Science, Computational Linguistics, Mathematics, Statistics, Physics, or a comparable field of study)
• You are proficient in handling large amounts of data using various tools – all programming languages welcome, especially Python, R, SQL.
• You have knowledge of NLP techniques and the current state-of-the-art in conversational AI. Previous practical experience with NLP / Generative AI projects is a plus.
• You have already gained insights into cloud solution architecture (e.g. AWS, Azure), software development & engineering, and knowledge in GitLab and CI/CD pipelines.
• Excellent technical understanding and software modeling skills combined with strategic thinking and clear customer-oriented communication form part of your profile.
• You are fluent in English; knowledge of German language is a plus.

What we offer

• Flexibility: trustful environment with an inclusive and flexible way of working driven by results; hybrid and remote working enabled by innovative tools and devices, personal computer and smartphone; wi-fi connection reimbursement.
• Welfare: flexible welfare programs and health insurance extendable to your family; professional and extraprofessional accident insurance; free on-site lunch options.
• Never stop growing: plenty opportunities for continuous and individual learning journeys
• An inclusive team culture where you can be yourself.

Join us and be yourself. Inclusion is our ambition!

Siemens is an equal opportunity employer, offering a safe and inclusive work environment, based on mutual respect and the appreciation of uniqueness, guaranteeing equal employment opportunities to all qualified candidates to unleash their full potential.