The posting
Company description: Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description: Your future team You will join the Data Science team composed of 45+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally. The Data Scientist position is located in Gothenburg and it is a permanent contract. You will report to the Chapter Lead Sweden.
What you will do At Volvo Group Digital Technology & Operations (DTO) you will contribute to the transformation of our company, the transport industry and society at large. In this role, you will turn complex business challenges into data products and AI solutions that create measurable impact, including sustainability outcomes. Working with global stakeholders, you will frame problems, define success metrics, and deliver solutions end to end. You will design, build, deploy, and operate ML and AI products with strong engineering practices, including CI/CD, monitoring, and robust model and feature management. You will help ensure long-term performance by monitoring drift and partnering with the business to decide when and how to improve pipelines. You will also apply NLP and LLM approaches for e.g. classification use cases, while designing solutions that meet security, governance, and regulatory requirements. You will take leadership and responsibility of an AI product run by a team of Data Scientists and Machine Learning Engineers. Who are you? Do you dream big? We do too, and we are excited to grow together. In this role, you will bring:
Essential requirements Solid understanding of statistics, probability theory and machine learning – with a relevant academic degree (min. Master's) in a quantitative field, such as mathematics, statistics, computer science, or physics. Strong applied experience in data science and ML, experimental design, evaluation, and production patterns Proven ability to deliver customer value by framing problems with stakeholders and defining measurable success metrics Hands-on experience with the full lifecycle of AI and ML software, including, among others, CI/CD, architecture, orchestration, quality assurance, and monitoring. Solid programming and data skills with Python and SQL, plus version control with Git Experience working with platforms and tooling such as Azure and Databricks, and applying MLOps practices (e.g. Azure Pipelines, Github Actions, Databricks Jobs) Clear communication skills in English and preferably also in the local language, and the ability to collaborate across cultures and time zones.
Nice to have Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning Experience delivering ML and AI in regulated environments with governance and audit requirements Domain experience with vehicle data, diagnostics, telematics, or quality and warranty analytics Leadership experience such as owning ML products end-to-end, mentoring, or leading practitioner communities
What’s in it for you? We offer a solid package of compensation and benefits, plus you will enjoy: A role where you can create measurable impact through Data and AI, including contributions to sustainability goals A collaborative, international community with 900+ data colleagues across seven countries Strong opportunities to grow through global, cross-functional work and end-to-end product ownership A culture that values openness, diversity in expertise and perspective, and co-creation
Ready for the next move? If you want to make a real impact in your career, the transportation business is where you want to be. We look forward to meeting you. We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.
Union representatives for Swedish applicants: Akademikerna – Mikael Johansson, +46 73 902 34 30 Unionen – Lajla Dahlsjö, +46 31 322 45 75 Ledarna – Carina Sachade, +46 73 902 40 83 We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.
Volvo Group Digital Technology & Operations (DTO) is a new division. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.
