Together with our customers, we combine the real and digital worlds

With technology, software and services for smart buildings, we transform the everyday for everyone. By combining the real and digital worlds, we empower our customers to reach their decarbonization goals, lower their operating costs and create world-class occupant experiences for their people. It’s not just about improving buildings – it’s about creating efficient, safe, adaptable and sustainable environments, which improve the way the world lives and works.

The digital transformation of buildings is a fast-changing, dynamic sector, and it needs more than just great technology - it needs great people, too. We know a business only thrives if its people are thriving, so at Siemens we put our people first.

Within our buildings business, our diverse global team will support you through your career and challenge you to grow in new and exciting ways, as we transform the world’s infrastructure.

As a Data Scientist, you will turn data, domain knowledge, and advanced AI methods into scalable, measurable, and trustworthy capabilities for SI Buildings Product (SI B PRO). This is a high-impact role for a hands-on AI and data professional who wants to work at the center of a new team shaping how Generative AI, machine learning, and data-driven decision-making are applied across product development.

In this role, you will contribute to design, prototype, validate, and operationalize AI-enabled solutions across software and firmware development lifecycles. You will bring strong analytical, statistical, and machine learning expertise to transform complex engineering data into insights, models, evaluation frameworks, and reusable data products. Working at the intersection of data science, AI engineering and product development, you will help ensure that AI initiatives are not only innovative, but also robust, explainable, valuable for engineering teams, secure and compliant.

Would you also like to play an active role in influencing current trends and developments and make a positive impact on the lives of millions of people in Switzerland? Then you’ve come to the right place! Apply today for the position of AI Data Scientist – your team is looking forward to meeting you!

Your new responsibilities

• Design, develop, and validate machine learning, Generative AI, and advanced analytics solutions that support product development, engineering productivity, quality improvement, cybersecurity, and decision-making across our SDLC
• Support the development of AI-assisted and agentic capabilities across requirements engineering, architecture analysis, coding, testing, security, vulnerability management, release readiness, and lifecycle management by applying data science methods to real engineering workflows
• Build prototypes, proof-of-concepts, and evaluation pipelines for LLM-based applications, RAG solutions, agentic workflows, classification models, prediction models, and AI-assisted engineering use cases, ensuring that feasibility, quality, and measurable value are assessed early and continuously
• Identify, acquire, clean, structure, and enrich data from engineering toolchains, repositories, documentation, requirements, test systems, vulnerability sources, and enterprise platforms to make it usable for AI and analytics solutions
• Define and implement evaluation approaches, performance metrics, validation methods, monitoring concepts, and quality criteria for AI models and GenAI applications, with attention to explainability, robustness, bias, privacy, security, and responsible AI principles
• Create reusable datasets, embeddings, feature stores, notebooks, pipelines, model evaluation assets, and documentation that enable scalable adoption and repeatable delivery of AI capabilities across teams and use cases
• Explore emerging AI, machine learning, data science, and GenAI techniques, frameworks, and tools, and assess their applicability for SI B PRO use cases in collaboration with the AI Core team and engineering stakeholders

Your talents and experience

• Bachelor’s or Master’s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Software Engineering, Physics, or a related technical field
• Several years of hands-on experience in data science, machine learning, AI engineering, applied analytics, or related technical roles, ideally in engineering or industrial technology environments
• Good understanding of data engineering foundations, including data pipelines, APIs, databases, versioning, data quality, metadata, and reproducible experimentation
• Strong practical experience with programming languages and common data science and machine learning ecosystems, including data processing, model development, experimentation, evaluation, and visualization
• Understanding of software and firmware development lifecycles, DevSecOps practices, cybersecurity considerations, and how AI can support engineering workflows in a secure and scalable way
• Hands-on exposure to Generative AI solutions, including LLM-based applications, prompt engineering, embeddings, retrieval-augmented generation, evaluation of GenAI outputs, and ideally agentic AI workflows and experience with machine learning methods
• Ability to work with complex and heterogeneous engineering data, such as requirements, source code metadata, test results, logs, documentation, vulnerability information, and lifecycle artifacts
• Awareness of AI governance, privacy, responsible AI, model risk, explainability, and regulatory expectations relevant to enterprise AI adoption
• Good communication and collaboration skills, with the ability to explain data science concepts to architects, product owners, engineers, cybersecurity experts, and business stakeholders
• Fluent in English

Employee benefits

• 2–3 days per week of mobile working is standard
• Mobility allowance
• Varied further training opportunities
• Access to employee share programs
• Further information about employee benefits can be found here

Our corporate culture – your new working environment

The culture at Siemens Switzerland is more than just a working environment – it is at the heart of our day-to-day interactions and the key to our success. Siemens Switzerland offers a future-oriented working environment characterized by innovation, sustainability and personal development. We are characterized by personal responsibility, equal opportunities and diversity, to which every employee can contribute authentically. Flexible working models and remote working are a reality for us and enable our employees to achieve a good work-life balance. Learn more and find out if you are a good match with Siemens by taking our culture quiz!

News and stories

See for yourself how innovative technology can change the present. If you want to find out more about what projects can be implemented using Siemens technology, here are some current examples.

Frequently asked questions and contact information

Here you will find a collection of frequently asked questions and a way to contact us directly.

I look forward to receiving your application.

Nathalie
Talent Acquisition Partner

Your way to Siemens - How we hire

Information for recruitment agencies: Siemens is not accepting applications from recruitment agencies for this position. Thank you for your understanding.