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Master Thesis: Machine Learning in SW supply

Posted date: Nov 17, 2020

Location: Stockholm, AB, SE

Company: Ericsson

Our Exciting Opportunity


Recent advancements in data science have changed the world. Machine Learning powers self-driving cars and automated high frequency trading makes a large part of stock transactions. Ericsson is a world leader in AI/ML for Telecom and is actively pushing the borders in other fields.
Supply chain management is one area that benefits from such technologies, but currently there is a lack of people with the relevant knowledge of data science as well as suitable commercial products in the field.
The Supply organization at Ericsson has about 6100 employees in 80 countries all over the world. This thesis will take place in the Software (SW) Supply unit of the organization. This unit is responsible for all commercial license and code distributions in Ericsson and to the customers.


Thesis description


The aim for the master thesis is to explore Machine Learning as a tool to be used on the SW Supply data sets and to help the organization to become data driven.
We expect the outcome to be one or several predictive models to be utilized by the SW Supply organization at Ericsson. Another expected benefit of the thesis should be to improve the awareness in SW Supply about the possibilities and limitations of Machine Learning methodology.


You will


•    Investigate relevant methods to explore data from the systems and processes handled by SW Supply
•    Develop predictive models based on the data (these models could for example predict for the way licenses will handled, create customer clusters based on behavior or predict quality issues in our license/code deliveries)
•    Explore significant external factors that influence the models
•    Recommend future areas where SW Supply should focus the predict analysis and suitable methods

•    Report to the Line Manager SW Supply


To be successful in the role you must


•    Be a final year master student within Data Science or similar field
•    Have a personal interest in advanced analytics, process development and operations
•    Have capacity to code/compare algorithms by applying them to the data with tools such as R or Python. Entrepreneurial mindset and self-learning
•    Be able to work independently and feel comfortable taking initiative
•    Be good in communicating with people both in- and outside of the organization.


What´s in it for you?


Here at Ericsson, our culture is built on over a century of courageous decisions. With us, you will no longer be dreaming of what the future holds – you will be redefining it. You won’t develop for the status quo, but will build what replaces it. Joining us is a way to move your career in any direction you want; with hundreds of career opportunities in locations all over the world, in a place where co-creation and collaboration are embedded into the walls. You will find yourself in a speak-up environment where empathy and humanness serve as cornerstones for how we work, and where work-life balance is a priority. Welcome to an inclusive, global company where your opportunity to make an impact is endless.


What happens once you apply?


To prepare yourself for next steps, please explore here: https://www.ericsson.com/en/careers/job-opportunities/hiring-process

 

Kindly note that we cannot process applications sent via email.

 

Please submit your application in English.

 

Location for this role: Stockholm, Sweden

Recruiter:  Dorota Baran, dorota.baran@ericsson.com

Last day to apply: 2020/12/04

 

Curious to know more about the life at Ericsson? Meet some of your future colleagues and watch our People film.

 

 

Do you believe that an organization fostering an environment of cooperation and collaboration to execute with speed creates better business value? Do you value a culture of humanness, where fact based decisions are important and our people are encouraged to speak up? Do you believe that diverse, inclusive teams drive performance and innovation? At Ericsson, we do. 

We provide equal employment opportunities without regard to race, color, gender, sexual orientation, transgender status, gender identity and/or expression, marital status, pregnancy, parental status, religion, political opinion, nationality, ethnic background, social origin, social status, indigenous status, disability, age, union membership or employee representation and any other characteristic protected by local law or Ericsson’s Code of Business Ethics.

 

Primary country and city: Sweden (SE) || || Stockholm || Stud&YP


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