Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. With over 34,000 people across more than 30 countries, we are dedicated to improving quality of life by solving complex challenges through collaboration and innovation. We are committed to becoming the leading asset management organisation, helping clients maximise the performance and value of their physical and natural assets across the entire lifecycle—from planning and creation through to maintenance, operation and disposal.

We are seeking an Asset Lifecycle Modelling Consultant to join our UK rail asset management team. In this role, you will contribute to delivering our rail asset management strategy, supporting clients to make evidence-based investment and maintenance decisions across infrastructure assets. You will also support our wider global advisory business across mobility, resilience, and places.

Reporting to an associate director within the mobility division, you will be supported by experienced colleagues and play a key role in shaping and growing the rail asset management team. This position offers excellent career development opportunities, including scope to manage colleagues and act as a subject matter expert.

As part of a highly talented and experienced team, you will help deliver some of our biggest and most iconic projects. With your energy, agility and keen eye for detail, you will deliver transformational outcomes for multiple clients every day.

We partner with clients globally to design thriving and connected cities and communities that enable opportunity for all and keep the world moving. Climate change, urbanisation and digitisation trends require today’s mobility projects and systems to address evolving demands from the world’s growing population. We design connected, sustainable solutions that integrate existing infrastructure with new technologies and optimise the mobility of people and goods.

Role Accountabilities:
- Deliver projects successfully by supporting asset management and asset lifecycle modelling projects, producing high-quality analytical outputs and technical deliverables.
- Develop and apply asset lifecycle models to help clients make informed investment, maintenance and renewal decisions by analysing asset performance, deterioration trends, whole-life costs and future investment scenarios.
- Use a range of analytical and digital tools to interrogate, analyse and visualise data, supporting the development of models, dashboards and decision-support tools.
- Support advisory services including business cases, asset management plans, investment strategies, data improvement initiatives and maintenance optimisation studies.
- Build strong working relationships by collaborating with multidisciplinary teams and clients, communicating clearly and proactively.
- Learn and develop professionally through structured learning opportunities within Arcadis.
- Drive innovation and continuous improvement by contributing new tools, approaches and ideas to advance asset management and digital consultancy capabilities.

Experience
Recent graduates or early-career professionals with a relevant academic background and a strong analytical mindset. Early professional experience in consulting or within organisations that own, operate or manage assets is advantageous. Experience with data analysis, modelling or forecasting through university projects or placements is desirable.

About you
Problem-solving and output-focused approach with an interest in understanding clients’ business needs. Ability to build strong relationships and contribute to effective solutions. Proactive learner with strong organisational skills and attention to detail. Ability to work collaboratively within multidisciplinary teams and communicate technical information clearly to non-technical audiences.

Qualifications
- A degree, or expected degree, in engineering, asset management, mathematics, data science, economics, physics, operational research or a related discipline.
- Strong analytical and problem-solving skills with the ability to interpret and draw insights from data.
- Interest in infrastructure, transport, utilities or the built environment.
- Strong written and verbal communication skills.
- Proficiency in Microsoft Excel and other standard data analysis tools.
- Knowledge of whole-life costing, lifecycle planning or investment appraisal concepts.
- Interest in predictive analytics, digital twins, optimisation or decision-support tools.

Desirable
- Understanding of asset management principles or awareness of ISO 55000.
- Familiarity with Power BI, Python, R, SQL or other data analytics tools.
- Understanding of risk-based decision-making and asset performance management.
- Experience using GIS, digital engineering or asset information systems.
- Knowledge of sustainability, carbon assessment or resilience considerations within infrastructure.
- Experience presenting technical findings to non-technical audiences.
- Placement, internship or project experience within transport, utilities, engineering or consultancy environments.