Data Scientist at Advanced Analytics, Service Market Logistics

Advanced Analytics within Service Market is on a journey where everybody is invited, we work in networks and self-forming teams, collaborate priorities are made in our communities where we have data and knowledge. Our cultural transformation brings joy, energy and results. We always try new and love teaching and supporting.


You will find yourself in a stimulating environment, with senior experts as colleagues, with people who are energized by developing themselves and by bringing Volvo Groups service market logistics into the new era where we are actually able to create value based on all the information at hand. The values are primarily in the areas of sustainability, service, inventory and cost.


You will be responsible of applying a scientific mind-set and engineering skills in analyzing large volumes of complex data. Typical tasks are, but not limited to; developing algorithms and services related to the analyzed data using Machine Learning, AI, Deep Learning and Reinforcement Learning. We work mostly with Python or R, using machine learning libraries like scikit-learn, TensorFlow, Keras, PyTorch and Spark. You are heavily contributing to our journey to evolve analytics in the service market context. As we aim to involve the full organization you would be an ambassador of advanced analytics.


We think you have a degree in mathematics, computer science, statistics, physics, or related area and that you have 4-5 years’ experience working with advanced analytics, complex systems and optimization using cloud based technologies to manage the amount of data needed. We appreciate creative problem-solvers who are passionate about their work. We hope you are a communicative person that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms.


If you happen to have experience in supply chain either from a theoretical view or hands we consider it a merit but not a requirement.


Hiring manager: Thomas Nordenskjöld (+46 739 02 53 55)