Student Worker – Turning Bid Archives into a Service Pipeline
About the role
Siemens is a global technology leader shaping the future of electrification, automation, and digitalization. Within Smart Infrastructure, we are driving the transformation of digital sales to create modern, data-driven customer experiences.
Are you passionate about practical AI and automation? We are now looking for a hands-on and curious student to join our Digital Sales team. You will build an extraction pipeline, resolve entity inconsistencies, and connect this data with service records. Your goal is to turn a dusty document archive from our installed base into an actionable service and retrofit pipeline that our Customer Service team will actually use.
This is not a research position - you will be building real solutions used by our sales team. This is a real data engineering, extraction and analysis work.
Your responsibilities
- Build Extraction Pipelines: Extract structured data (customer, site, equipment, configuration, dates) from historical PDFs, handling template drift and scanned documents.
- Model the Data: Design the data schema alongside the team to support a unified view of our installed base.
- Resolve Entities & Clean Data: Tackle messy duplicates—matching customer sites across different names, spellings, and systems.
- Score Opportunities: Build logic to identify equipment approaching end-of-life and rank commercial service opportunities.
- Deliver Usable Dashboards: Build practical Power BI dashboards for the Customer Service team.
What you will learn
- How AI and automation are applied in modern B2B digital sales
- Hands-on experience building real AI agents used in business workflows
- End-to-end sales processes and customer journeys
- Exposure to electrification and automation solutions in the energy domain
Who are you?
- Student in Computer Science, Engineering, Data Science, or similar (1 to 2 years remaining)
- You enjoy taking a vague business problem and turning it into something that runs
- Hands-on experience developing AI agents, chatbots, or automation workflows (not just theoretical)
- Comfortable in iterating, prototyping, and quickly turning ideas into working demos
- Structured, proactive, and self-driven
- Swedish and English are must, additional language is a plus
Technical skills we are looking for
- Strong SQL skills: Comfortable with complex joins, window functions, and multi-table queries without a tutorial.
- Python data stack: Solid experience with pandas and PDF extraction tools (PyMuPDF, pdfplumber, or OCR).
- Data mindset: You enjoy cleaning messy data, designing schemas, and ensuring accuracy.
Bonus if you:
- Experience using LLMs for unstructured document extraction (and knowing where they fail).
- Exposure to entity resolution / fuzzy matching techniques.
- Familiarity with Power BI
- Interest in industrial maintenance, equipment lifecycles, or commercial operations.
What we offer
- A unique opportunity to build real AI solutions in a business context
- High level of ownership and the chance to turn ideas into production concepts
- Flexible working hours to combine work with your studies (approx.. 2 days a week)
- A modern, innovative, and collaborative environment
- Office in Solna
- Strong learning and growth opportunities within Siemens
Join us
Be part of a global technology leader that empowers customers to accelerate their digital and sustainable transformation. At Siemens, you will work in an innovative environment where your ideas, curiosity, and ambition are valued from day one.
Ready to Join Us?
We're looking for someone to start as soon as possible. We review applications on an ongoing basis and look forward to hearing from you.
Application deadline: October 28th
As part of our recruitment process, background checks are conducted on the final candidate.