Overview

Data Scientist role at ARUP, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Joining Arup supports sustainable development and socially meaningful work within a collaborative, values-driven environment.

The opportunity is to join the Transport Modelling and City Modelling Lab in London, contributing to agent-based and activity-based modelling and working with senior transport modellers, project managers, and multidisciplinary teams across the UK and internationally.

Responsibilities

• Develop and apply innovative methodologies to solve complex urban modelling challenges using data, models, and visualisation.
• Build and calibrate models including synthetic populations, activity/location choice models, and forecasting future transport scenarios.
• Support scheme assessments and mitigation testing through robust data analysis.
• Collaborate with clients and stakeholders, attend meetings, and present insights.
• Extract, interpret, and communicate model outputs through traditional and non-traditional technical reporting.
• Leverage Python and GitHub to deliver scalable and efficient solutions.
• Based in London with potential project work elsewhere in the UK and internationally, as required.

Essential Skills And Knowledge

• 4-6 years of experience in data science, simulation, urban modelling, and/or transport modelling.
• Proficiency in Python.
• Master’s degree in a relevant discipline (e.g., Data Science, Transport Planning, Statistics).
• Strong data visualisation skills tailored to client needs.
• Ability to present complex data clearly and effectively.
• Excellent interpersonal and client-facing communication.
• Comfortable working independently and within a team.

Desirable Skills And Knowledge

• PhD degree in a relevant discipline (e.g., Data Science, Transport Planning, Statistics), especially activity-based and/or agent-based modelling.
• Direct experience with activity-based and agent-based modelling, including synthetic population development.
• Experience in development and deployment of machine learning algorithms, balancing explainability with predictive power.
• Familiarity with MATSim or PopulationSim.
• Experience with databases and statistical tools (e.g., MySQL, SQL Server, R) and knowledge of traditional modelling software (e.g., SATURN, VISSUM, CUBE).
• Knowledge of cloud computing (AWS, GCP, Azure etc.).
• Knowledge of software engineering practices, including automated testing, peer review via pull requests, CI/CD and data engineering.

What We Offer

Arup provides a supportive environment with opportunities for growth, competitive pay, and benefits focused on health and wellbeing, learning opportunities, and meaningful impact. Members benefit from shared success, including profit share and a range of private insurance and flexible benefits to suit individual needs.

Equal Opportunity and Inclusion

Arup is an equal opportunity employer that actively promotes a diverse and inclusive workforce. Applications from individuals of all backgrounds are welcome, regardless of age, gender identity or expression, marital status, disability, neurodiversity, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and family status. Arup supports a sense of belonging and accessibility in recruitment and the workplace.

We are committed to accessible recruitment processes. Please contact Drina.Zupanovicgerard@arup.com for any assistance or reasonable adjustments during your application or interview, or to discuss essential role functions.

Application Process

For what to expect next, please visit the Arup careers recruitment process page.

Stay safe online — Arup will never ask for bank details as part of recruitment, and we work with a Preferred Supplier List for agencies.

Closing Date: 05.09.2025