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Data Scientist – Volvo Trucks Digital Management

VOLVO BUSINESS SERVICES AKTIEBOLAG

Västra Götalands län, Göteborg

Previous experience is desired

30 days left
to apply for the job

Founded in 1927, the Volvo Group

Data Scientist – Volvo Trucks Digital Management

Data Analytics & AI

Transport is at the core of modern society. At Volvo Trucks, you can use data science and AI to help shape the future of sustainable transport and infrastructure solutions. If you are passionate about turning data into business value, enjoy solving varied challenges, and want to work close to the business in a highly collaborative role, this could be a great opportunity for you.

The Role

We are looking for a Data Scientist to join Data Analytics & AI within Volvo Trucks Digital Management. In this role, you will work hands-on with data science and AI to solve real business challenges across Volvo Trucks. You will be part of a collaborative, skilled, and supportive team where advanced analytics, machine learning, and generative AI are applied to create meaningful impact.

This is a broad, hands-on role with a strong focus on collaboration and communication. You will work closely with business stakeholders across different parts of the organization, which means you need to be comfortable understanding business needs, challenging assumptions, translating technical concepts into clear insights, and building trust with people at different levels of technical understanding.

Your work will vary across projects, business areas, and technical challenges. One project may focus on predictive modeling, another on data exploration and experimentation, and another on generative AI or helping move AI solutions toward production. This variation is a core part of the role.

It is also a role for someone who enjoys working in a broad problem space. You do not need to know everything from day one. What matters most is a curious mindset, strong problem-solving ability, and a willingness to learn new domains, methods, and technologies over time. At Volvo Trucks, we value people who can grow into challenges, collaborate with others, and contribute across a wide range of issues.

What you will do

  • Apply data science and AI methods to real-world business problems
  • Work with advanced analytics, machine learning and generative AI
  • Collaborate closely with business stakeholders to understand needs and identify valuable use cases
  • Communicate methodologies, findings, and recommendations in a clear and transparent way, to build trust.
  • Work with a wide range of projects, data sources, and business contexts
  • Contribute throughout the lifecycle from exploration and prototyping to support with productionizing of AI solutions
  • Collaborate with colleagues across different domains
  • Continuously learn about the business, its information landscape, and the transport industry to create relevant and actionable solutions

Who are you

You are a curious and analytical person who enjoys solving problems and learning continuously in a fast-evolving field. You like working in close collaboration with others and are motivated by turning complex questions into practical business value.

You communicate clearly and bring a positive, proactive attitude to your work. As the role involves close interaction with business stakeholders, you should be comfortable explaining technical topics in a simple and engaging way, listening actively, and adapting your message to different audiences.

We believe you likely have:

  • A degree in computer science, statistics, engineering, or another relevant field
  • Experience using Python for data science, analytics and AI development
  • Good understanding of adjacent areas such as DevOps, APIs and data modeling
  • A collaborative mindset and the confidence to take on new challenges even when the path is not fully defined from the start
  • At least 2-3 years of work experience as a data scientist or relevant role

It is an advantage if you have experience with:

  • MLOps
  • Deployment and scaling of AI solutions
  • Cloud platforms such as Azure, AWS, or GCP
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