Student Data Engineer for AI-Driven Sales Ops (Hybrid)

Siemens AG; Stockholms kommun; Hybride; SEK 276 000 - 441 000; Temps partiel

Résumé du poste

Siemens AG in Solna is seeking a hands-on student to build an AI-driven data extraction and analytics pipeline for Smart Infrastructure. You will extract structured data from PDFs, design schemas, and connect results to service records to support the sales and service teams.

Ideal candidates are pursuing CS/engineering/data science with 1–2 years left, comfortable turning vague problems into working demos, and familiar with Python, SQL, and Power BI. Hybrid office setup in Solna awaits.

Qualifications

• Student in CS/engineering/data science with 1–2 years left.
• Interest in turning vague business problems into runnable solutions.
• Hands-on AI/automation experience with agents, chatbots, or workflows.
• Structured, proactive, and self-driven; strong in iterative prototyping.

Responsabilités

• Build extraction pipelines to pull structured data from PDFs.
• Model data schemas for a unified installed-base view.
• Resolve duplicates by matching sites across names and systems.
• Score opportunities and rank service opportunities for sales.
• Deliver Power BI dashboards for the Customer Service team.

Connaissances

SQL

Python (Pandas)

Data extraction

Power BI

LLMs for extraction

Formation

Student in Computer Science/Engineering/Data Science

Outils

PyMuPDF

pdfplumber

OCR

Description du poste

Siemens AG in Solna is seeking a hands-on student to build an AI-driven data extraction and analytics pipeline for Smart Infrastructure. You will extract structured data from PDFs, design schemas, and connect results to service records to support the sales and service teams.

Ideal candidates are pursuing CS/engineering/data science with 1–2 years left, comfortable turning vague problems into working demos, and familiar with Python, SQL, and Power BI. Hybrid office setup in Solna awaits.