In this role, you will help develop data-driven prognostics solutions that improve vehicle uptime and support smarter maintenance decisions.
You will work with diagnostic signals, traces, and vehicle data to understand how systems degrade over time, identify trends, and define what should be predicted, for whom, and over what horizon.
You will translate complex technical and operational needs into clear analytical requirements, helping shape solutions that can predict remaining useful life and support more tailored preventive maintenance.
Working closely with data scientists, software developers, component experts, and service engineers, you will help validate outputs, assess business value, and turn insights into practical digital products and service tools for dealers, technicians, fleet managers, and operators.
You will also contribute to how data is structured, stored, and used, making sure the solutions are grounded in engineering reality and can be deployed effectively in a cross-functional product development environment.
Profile description: Who are you?
You thrive in cross-functional collaboration and are comfortable navigating uncertainty when degradation is complex and data is incomplete. You build trustful relationships that strengthen both delivery and team culture.
Prognostic Engineer - an engineering and data product role grounded in strong data science understanding, requiring:
An MSc in Mechanical Engineering, Electrical Engineering, Vehicle Engineering, or equivalent.
5+ years of experience in engineering or applied analytics role
Solid understanding of vehicle systems/technologies, diagnostics, and how system degradations show up in data.
Ability to read, interpret, and challenge analytical outputs, you don't need to build the models, but you need to understand what they're telling you and when to trust them.
Experience working in cross-functional, agile product development environments.
Knowledge in OBD/CAN data, ECU log analysis and telematics data architecture.
Requirements
Familiarity with RUL estimation frameworks, survival analysis, or health index approaches.
Exposure to cloud or big data platforms (Azure, Databricks) from an engineering perspective.
Knowledge of aftermarket service operations, uptime contracts, or maintenance planning workflows.
Benefits
What's in it for you?Being part of a mission-driven team focused on maximizing customer uptime through smart maintenance solutionsClose collaboration across engineering, data science and software, with strong product ownership and real-world impactOpportunities to grow your expertise at the intersection of vehicle systems, analytics and service planning
Additional Information
Company description:
"Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers' uptime and productivity. Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."
Job description:
Volvo Business Aktiebolag · Göteborg, Västra Götalands Län