Overview
In this role, you help Arcadis advance its asset management capability for rail infrastructure. You’ll contribute to evidence-based investment and maintenance decisions by developing asset lifecycle models and applying analytical tools. You’ll work with cross-functional teams to deliver high-quality outputs that inform client strategies and asset performance. This is an opportunity to grow as a specialist in digital consultancy, shaping sustainable, long-term value for critical assets. You join a collaborative, innovation-driven environment with clear development paths and exposure to iconic projects.
Responsibilities
- Support delivery of asset management and lifecycle modelling projects with high-quality analytical outputs
- Develop and apply asset lifecycle models to inform investment, maintenance and renewal decisions
- Utilise analytical and digital tools to interrogate and visualise data, developing models and dashboards
- Contribute to advisory services across asset management, investment planning, and infrastructure strategy
- Build strong relationships with multidisciplinary teams and clients to understand challenges and objectives
- Engage in learning and development activities to enhance technical, analytical, and consulting skills
- Drive innovation by exploring new tools and approaches to improve asset analysis and decision-support
Key requirements
- Degree or expected degree in engineering, asset management, mathematics, data science, economics, physics, operational research or related discipline
- Strong analytical and problem-solving skills with ability to interpret data
- Interest in infrastructure, transport, utilities or built environment
- Ability to communicate quantitative findings clearly in writing and verbally
- Good written and verbal communication skills
- Interest in predictive analytics, digital twins, optimisation or decision-support tools
- Ability to work collaboratively in multidisciplinary teams
- Proactive approach to learning and development
- Strong organisational skills and attention to detail
- Proficiency in Microsoft Excel and other standard data analysis tools
- Ability to translate technical information into client-ready outputs
- Knowledge of whole-life costing, lifecycle planning or investment appraisal concepts
- collaboration
- clear communication
- proactive learning
- Power BI
- Python
- R
Asset Lifecycle Modeller in Glasgow employer: Arcadis
Arcadis UK is an exceptional employer that fosters a collaborative and innovative work culture, where sustainability and resilience are at the forefront of our projects. Employees benefit from continuous professional development opportunities, a supportive environment, and the chance to work on impactful projects in the water and energy sectors. Located in the UK, we offer a dynamic workplace that values diversity and encourages creative solutions to complex engineering challenges.
