Data Scientist - Volvo Group Connected Solutions

Data Scientist – Volvo Group Connected Solutions


Do you want to be part of a global organisation leading the development of the
Volvo Group’s connected services and solutions? For us “connected for efficiency, sustainability and safety” is much more than a tag-line. If this sounds interesting to you, keep on reading!

At Volvo Group Connected Solutions we work at the forefront of connectivity with data from over
1 000 000 Volvo Group customer assets. Together with customers, partners and the Volvo Group we create real value, not only for our customers but also for society at large.


This is us, your new colleagues


Our Center of Excellence (CoE) for Advanced Analytics & AI is focused on unleashing the value of data collected from connected customer assets. The team provides actionable insights for predicting and optimizing Volvo Group operations and generating new value for our customers and society at large by applying the latest advanced analytics techniques. We work with data from various sources, with an emphasis on position data from connected vehicles.


We are now looking for a Data Scientist to join our CoE team. You will work together with a highly skilled group of other Data Scientists with broad skillsets in the data science domain. We do everything from problem framing and ideation together with business stakeholders, through all the technical aspects around data acquisition and analysis, to efficient packaging, communication and following up of the results. But not everybody is an expert in everything and together we tailor your role to suit your expertise and passion. For more senior applicants, there are opportunities to also focus more on i.e. leading your colleagues in projects, or assuming responsibility for parts of our project portfolio.


The role
Create value from data in a wide range of projects, ranging from insight generation and analytics building blocks to complete self-service solutions or services
Develop and use data processing/analysis pipelines, from data preparation to final presentation of results
Work and experiment with state-of-the-art data processing, machine learning and AI techniques
Drive your own projects and/or lead and coordinate Advanced Analytics team efforts as needed
Use and promote a data-driven workflow, as well as the potential of applying advanced analytics, for the benefit of the Volvo Group
Collaborate with a variety of functions within the Volvo Group in dynamic and interesting settings connected to data analysis
Develop an understanding of the opportunities and challenges of the Volvo Group data landscape and how this relates to the needs of the organization
Actively share your knowledge and experience with colleagues in the Advanced Analytics team and beyond

Your profile
You have an advanced degree in computer science, engineering, complex systems, mathematics, statistics, physics, or a related area
You are a creative problem-solver with an inquisitive attitude and are not afraid of complex challenges or unconventional approaches
You routinely use programming as a tool for problem solving, and are experienced in at least one high-level programming language for data science (Python, R, Julia, Matlab, etc.)
You confidently build analysis approaches from scratch, adapting existing tools (or developing your own) to suit your needs
You are capable of working systematically with real-world datasets, from data extraction, cleaning and preprocessing, to analysis and visualization of results
You value building strong relationships with your colleagues

The ideal candidate is also
Accomplished in tackling very loosely defined problems
Able to balance attention to detail with a focus on value to efficiently achieve impactful results of high quality
Able to select the important information from a body of work and present it in a way that suits the audience, explaining complex topics in simple terms
A communicative person that builds and maintains trust with stakeholders
Humorous; because, in the end, working in the CoE team should be fun
Experience in any of the following skills is considered a plus:
Machine Learning techniques such as regression, classification, clustering and dimensionality reduction
Analytics tools and platforms (Pandas, SQL, Spark, AWS, DataBricks, etc.)
Geospatial analysis tools and datasets (Geopandas, QGIS, OSM, etc.)
Dashboarding tools (Power BI, Qlik Sense, QuickSight, Kibana, etc.)

What can we offer you?


You will be part of a highly skilled data science team that creates great value together with our stakeholders in both short-term and long-term engagements. We work within several domains across the Volvo Group and collaborate with both external companies, public bodies and academia. The team combines the agile and fast-moving approach of a startup with the benefits of working in a global company. In our team you will be able to make a data-driven impact on sustainable transport solutions for the Volvo Group, our customers, and society at large, and have fun while doing it.


We learn in order to stay ahead, and actively encourage competence development and the acquisition of new skills. For the same reason, we also complement our business-driven engagements with more explorative projects to test out concepts or apply new techniques in a Volvo context.


Being based in Lindholmen Science Park in Gothenburg, you will work in the heart of a vibrant area that lives and breathes new technology like autonomous driving, electromobility, digitalization & IoT. We employ a hybrid working setup, combining the benefits of physical meetings with the flexibility of working remotely. We are also open to discussing alternative arrangements, such as part-time association with academia.


Welcome to the heart of connectivity at Volvo Group Connected Solutions!


Want to know more? Contact us!


Recruiting manager
Robert Valton, Director Data, Analytics & AI, +46 31 323 76 14


For general questions about the work and team, feel free to contact some of the team members:
Adam Stahl, Lead Data Scientist, +46 31 322 76 14
Elin Andrée, Data Scientist, +46 31 323 72 33