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Lund, Sverige
Onsite
Category
Computer Science, Data Engineering, Data Science
Scope
Master Thesis 30 hp
2 students completing 30 credits each
Background
Axis Communications operates a complex global supply chain with multiple data sources, including ERP, CRM, financial, and manufacturing systems, logistics platforms, internal applications, etc. Currently, querying this distributed data requires deep technical knowledge of our data warehouse architecture, SQL expertise, and familiarity with our schemas. Business stakeholders with limited familiarity on data warehouse architecture may struggle to gain quick insights into critical questions that require data across different systems. Domain experts within our supply chain organization possess deep knowledge of our supplier ecosystem, distributor networks, and their complex relationships. However, this knowledge usually exists in documents, spreadsheets, and institutional memory—not completely in a structured, queryable format that can enhance our data systems.
Goal
Answer these questions:
Who are you?
For this thesis proposal, we are seeking two students with a strong technical foundation and genuine interest in the intersection of data engineering, knowledge representation, and AI-driven data access.
Ideal Profile:
It’s a plus if you have:
OK, I am interested! What do I do now?
You are valuable to us – how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.
Who to contact for any questions regarding the position!
Karla Marie Paredes, karla.marie.paredes@axis.com.
Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.
We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.
With around 6000 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.
Let´s create a smarter, safer world
For more information about Axis, please visit our website www.axis.com.
Listen to Get To Know Axis – Podcast