Master Thesis: Hidden Lifecycle Costs, Portfolio Evolution and Circular Value through Advanced Anal
About this opportunity:
Are you ready to uncover hidden costs and stranded value across complex product lifecycles? In this master's thesis, you will investigate how product structures, supplier commitments, demand, consumption, inventory, component costs, and end-of-life decisions interact across Ericsson's supply chain.
Using data mining, advanced analytics, AI-enabled discovery, and stakeholder interviews, you will reconstruct the lifecycle story of selected products and identify opportunities to reduce liabilities, prevent value leakage, and increase component reuse.
You will work independently while collaborating with experts in Supply, Finance, Sourcing, Product Engineering, with particular focus on working closely with Product Portfolio and Cost Management within NPI and Production. Your findings will support transformation in supply, product portfolio, circularity, and cost optimization.
What you will do:
- Connect product and submodule structures with supplier, demand, consumption, price, inventory, cost, and lifecycle data from Snowflake, SWB, Power BI, documents, and expert knowledge.
- Compare supplier commitments, production and delivery volumes, actual consumption, future demand, and financial liabilities to identify lifecycle value leakage.
- Analyze component costs and design evolution across product generations, including ASICs, antennas, and filters.
- Assess lifecycle costs and risks, including NRE, inventory holding, scrap, obsolescence, supplier liabilities, excess stock, last-time buys, and phase-outs.
- Identify component commonality, modularity, reuse opportunities, and recoverable value across products, submodules, phased-out products, and buffer inventories.
- Validate findings through stakeholder interviews and deliver a prioritized report with evidence, conclusions, business impact, improvement opportunities, and recommendations for further investigation.
The skills you bring:
- Background in Industrial Engineering, Supply Chain Management, Data Analytics, Computer Science, Business Analytics, Operations Management, or a related field
- Strong analytical mindset and curiosity for solving complex business problems with data
- Ability to work with large datasets and create clear, decision-oriented visualizations
- Knowledge of SQL and data-querying concepts; experience with Python, Power BI, Snowflake
- Interest in applying AI and Large Language Models to business and unlocking value from fragmented data
- Interest in supply chain, procurement, manufacturing, product lifecycle management, circularity, and cost optimization
- Strong communication skills and confidence conducting structured interviews across functions
- Ability to work independently, collaborate across the organization, and turn evidence into actionable insights
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791434
Skills Required
- Background in Industrial Engineering, Supply Chain Management, Data Analytics, Computer Science, Business Analytics, Operations Management, or a related field
- Strong analytical mindset and curiosity for solving complex business problems with data
- Ability to work with large datasets and create clear, decision-oriented visualizations
- Knowledge of SQL and data-querying concepts
- Experience with Python, Power BI, and Snowflake
- Interest in applying AI and Large Language Models to business data
- Interest in supply chain, procurement, manufacturing, product lifecycle management, circularity, and cost optimization
- Strong communication skills and confidence conducting structured interviews across functions
- Ability to work independently, collaborate across the organization, and turn evidence into actionable insights
What the Team is Saying
.png)
.png)
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
Gallery
.jpg)
.jpg)
.jpg)
.jpg)
.jpg)
Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
