User Researcher à Grande-Bretagne

Joining Arup

At Arup we're dedicated to sustainable development and to doing socially useful work that has meaning. Our purpose, shared values and collaborative approach has set us apart for over 75 years, guiding how we shape a better world.

Watch this short clip to discover how Arup are shaping a better world and how you could be a part of it!

The Opportunity

We have opportunities for an experienced and ambitious Data Scientist to join our collaborative and creative Transport Modelling and City Modelling Lab team in London.

We're looking for an experienced and ambitious Data Scientist to join our collaborative and innovative Transport Modelling team in London. This is an exciting opportunity to contribute to cutting-edge projects in agent-based and activity-based modelling, working alongside senior transport modellers, project managers, and multidisciplinary teams across the UK and internationally.

About the Role

As a Data Scientist in our Transport Modelling team, you will:

• 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 your expertise in Python and GitHub to deliver scalable and efficient solutions.
• You will be 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 the appropriate 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, continuous integration and continuous deployment and data engineering

What we offer you

At Arup, we care about each member's success, so we can grow together.

Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive - through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do.

We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup's legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts.

We also provide Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you'll have access to flexible benefitsto help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs.

Different people, shared values

Arup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you're pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas - this drives our excellence.

Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion - we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at www.arup.com/careers/your-life-at-arup.

We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Drina.Zupanovicgerard@arup.com to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you.

Our Application Process

To understand what to expect next, please visit https://www.arup.com/careers/recruitment-process/

Stay safe online - Arup will never ask for your bank details as part of our recruitment process.

Recruitment Agencies - We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the list.

Closing Date: 05.09.2025